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【ACL2020】430篇国际自然语言处理领域顶级学术,代码开源论文

2020-8-11 10:27:43 显示全部楼层
ACL 2020 是什么机构?
国际计算语言学协会(ACL,The Association for Computational Linguistics)是自然语言处理领域影响力最大、最具活力的国际学术组织之一。
在国际 AI 学界的影响力外,ACL 无论是审稿规范还是审稿质量,都是当今 AI 领域国际顶级会议中公认的翘楚。研究论文能够被其录用,不仅意味着研究成果得到了国际学术界的认可,也证明了研究本身在实验严谨性、思路创新性等方面的实力。

目前ACL2020正在线上开会,本文整理了ACL2020中430篇有的所有论文,欢迎大家参考借鉴!!!
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.2.pdf
  • 代码链接:https://github.com/alexwgr/LatentPromptRelease

Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.3.pdf
  • 代码链接:https://github.com/zliucr/coach

Designing Precise and Robust Dialogue Response Evaluators
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.4.pdf
  • 代码链接:https://github.com/ZHAOTING/dialog-processing

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.9.pdf
  • 代码链接:https://github.com/PaddlePaddle/Research/tree/master/NLP/Dialogue-PLATO

Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.12.pdf
  • 代码链接:https://github.com/stanford-oval/zero-shot-multiwoz-acl2020

A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.13.pdf
  • 代码链接:https://github.com/jeffrey9977/Chinese-Discourse-Parser-ACL2020

Few-Shot NLG with Pre-Trained Language Model
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.18.pdf
  • 代码链接:https://github.com/czyssrs/Few-Shot-NLG

Fluent Response Generation for Conversational Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.19.pdf
  • 代码链接:https://github.com/abaheti95/QADialogSystem

Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.20.pdf
  • 代码链接:https://github.com/seanie12/Info-HCVAE

Neural Syntactic Preordering for Controlled Paraphrase Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.22.pdf
  • 代码链接:https://github.com/tagoyal/sow-reap-paraphrasing

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.23.pdf
  • 代码链接:https://github.com/WHUIR/PPVAE

Unsupervised Paraphrasing by Simulated Annealing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.28.pdf
  • 代码链接:https://github.com/Liuxg16/UPSA

Contextualized Weak Supervision for Text Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.30.pdf
  • 代码链接:https://github.com/dheeraj7596/ConWea

Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.31/
  • 代码链接:https://github.com/CRIPAC-DIG/TextING

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.36.pdf
  • 代码链接:https://github.com/lemmonation/jm-nat

Norm-Based Curriculum Learning for Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.41.pdf
  • 代码链接:https://github.com/NLP2CT/norm-nmt

A Formal Hierarchy of RNN Architectures
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.43.pdf
  • 代码链接:https://github.com/viking-sudo-rm/rr-experiments

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.48.pdf
  • 代码链接:https://github.com/l852888/GCAN

End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.54.pdf
  • 代码链接:https://github.com/KAIST-AILab/NeuralPipeline_DSTC8

Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.59.pdf
  • 代码链接:https://github.com/truthless11/MADPL

Paraphrase Augmented Task-Oriented Dialog Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.60.pdf
  • 代码链接:https://github.com/Silin159/PARG

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.63.pdf
  • 代码链接:https://github.com/MiuLab/DuaLUG

Improved Natural Language Generation via Loss Truncation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.66.pdf
  • 代码链接:https://github.com/ddkang/loss_dropper

Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.67.pdf
  • 代码链接:https://github.com/ybz79/AMR2text

Rigid Formats Controlled Text Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.68.pdf
  • 代码链接:https://github.com/lipiji/SongNet

Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.69.pdf
  • 代码链接:https://bitbucket.org/kaustubhdhole/syn-qg/

An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.70.pdf
  • 代码链接:https://github.com/JayKumarr/OSDM

Tree-Structured Neural Topic Model
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.73.pdf
  • 代码链接:https://github.com/misonuma/tsntm

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.76.pdf
  • 代码链接:https://github.com/joongbo/tta

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.81.pdf
  • 代码链接:https://github.com/ACL2020SpellGCN/SpellGCN

A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.84.pdf
  • 代码链接:https://github.zhaw.ch/semql/annotation_tool

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.85.pdf
  • 代码链接:https://github.com/jhyuklee/sparc

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.88.pdf
  • 代码链接:https://github.com/Yifan-Gao/explicit_memory_tracker

Injecting Numerical Reasoning Skills into Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.89.pdf
  • 代码链接:https://github.com/ag1988/injecting_numeracy

Learning to Identify Follow-Up Questions in Conversational Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.90.pdf
  • 代码链接:https://github.com/nusnlp/LIF

Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.91.pdf
  • 代码链接:https://github.com/lanyunshi/Multi-hopComplexKBQA

Improving Image Captioning Evaluation by Considering Inter References Variance
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.93.pdf
  • 代码链接:https://github.com/ck0123/improved-bertscore-for-image-captioning-evaluation

Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.95.pdf
  • 代码链接:https://github.com/facebookresearch/wsd-biencoders

Towards Conversational Recommendation over Multi-Type Dialogs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.98.pdf
  • 代码链接:https://github.com/PaddlePaddle/models/tree/develop/PaddleNLP/Research/ACL2020-DuRecDial

Exclusive Hierarchical Decoding for Deep Keyphrase Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.103.pdf
  • 代码链接:https://github.com/Chen-Wang-CUHK/ExHiRD-DKG

Hierarchy-Aware Global Model for Hierarchical Text Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.104.pdf
  • 代码链接:https://github.com/Alibaba-NLP/HiAGM

A Graph Auto-encoder Model of Derivational Morphology
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.106.pdf
  • 代码链接:https://github.com/valentinhofmann/dga

Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.108.pdf
  • 代码链接:https://github.com/webis-de/ACL-20

Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.109.pdf
  • 代码链接:https://github.com/macleginn/exploring-clmd-divergences

Multi-Hypothesis Machine Translation Evaluation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.113.pdf
  • 代码链接:https://github.com/facebookresearch/mlqe/tree/master/data-multi-hyp

PuzzLing Machines: A Challenge on Learning From Small Data
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.115.pdf
  • 代码链接:https://ukplab.github.io/PuzzLing-Machines/

The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.116.pdf
  • 代码链接:https://github.com/boschresearch/sofc-exp_textmining_resources

iSarcasm: A Dataset of Intended Sarcasm
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.118.pdf
  • 代码链接:https://github.com/silviu-oprea/iSarcasm

AMR Parsing via Graph-Sequence Iterative Inference
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.119.pdf
  • 代码链接:https://github.com/jcyk/AMR-gs

A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.120.pdf
  • 代码链接:https://github.com/complementizer/wcep-mds-dataset

Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.121.pdf
  • 代码链接:https://github.com/ZNLP/ATSum

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.124.pdf
  • 代码链接:https://github.com/yg211/acl20-ref-free-eval

Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.126.pdf
  • 代码链接:https://github.com/Weixin-Liang/dialog_evaluation_CMADE

Conversational Word Embedding for Retrieval-Based Dialog System
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.127.pdf
  • 代码链接:https://github.com/wtma/PR-Embedding

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.128.pdf
  • 代码链接:https://github.com/AtmaHou/FewShotTagging

MuTual: A Dataset for Multi-Turn Dialogue Reasoning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.130.pdf
  • 代码链接:https://github.com/Nealcly/MuTual

You Impress Me: Dialogue Generation via Mutual Persona Perception
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.131.pdf
  • 代码链接:https://github.com/SivilTaram/Persona-Dialogue-Generation

Bridging Anaphora Resolution as Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.132.pdf
  • 代码链接:https://github.com/IBM/bridging-resolution

Dialogue Coherence Assessment Without Explicit Dialogue Act Labels
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.133.pdf
  • 代码链接:https://github.com/UKPLab/acl2020-dialogue-coherence-assessment

Semantic Graphs for Generating Deep Questions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.135.pdf
  • 代码链接:https://github.com/WING-NUS/SG-Deep-Question-Generation

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.136.pdf
  • 代码链接:https://github.com/weizhepei/CasRel

In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.137.pdf
  • 代码链接:https://github.com/rubenkruiper/FOBIE

NAT: Noise-Aware Training for Robust Neural Sequence Labeling
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.138.pdf
  • 代码链接:https://github.com/mnamysl/nat-acl2020

Named Entity Recognition without Labelled Data: A Weak Supervision Approach
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.139.pdf
  • 代码链接:https://github.com/NorskRegnesentral/weak-supervision-for-NER

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.141.pdf
  • 代码链接:https://github.com/nanguoshun/LSR

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.142/
  • 代码链接:https://github.com/DFKI-NLP/tacrev

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.143.pdf
  • 代码链接:https://github.com/mttravel/Dictionary-based-MT

Character-Level Translation with Self-attention
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.145.pdf
  • 代码链接:https://github.com/CharizardAcademy/convtransformer

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.148.pdf
  • 代码链接:https://github.com/bzhangGo/zero

It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.149.pdf
  • 代码链接:https://github.com/e-bug/nmt-difficulty

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.151/
  • 代码链接:https://github.com/AIPHES/ACL20-Reference-Free-MT-Evaluation

Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.157.pdf
  • 代码链接:https://github.com/cambridge-wtwt/acl2020-wtwt-tweets

A Systematic Assessment of Syntactic Generalization in Neural Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.158.pdf
  • 代码链接:https://github.com/cpllab/syntactic-generalization

Suspense in Short Stories is Predicted By Uncertainty Reduction over Neural Story Representation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.161.pdf
  • 代码链接:https://github.com/dwlmt/Story-Untangling/tree/acl-2020-dec-submission

You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.162.pdf
  • 代码链接:http://github.com/orionw/DocumentReadingTime

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.167.pdf
  • 代码链接:https://github.com/IBM/GPT-too-AMR2text

Learning to Update Natural Language Comments Based on Code Changes
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.168.pdf
  • 代码链接:https://github.com/panthap2/LearningToUpdateNLComments

Politeness Transfer: A Tag and Generate Approach
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.169/
  • 代码链接:https://github.com/tag-and-generate/

On Faithfulness and Factuality in Abstractive Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.173.pdf
  • 代码链接:https://github.com/google-research-datasets/xsum_hallucination_annotations

Screenplay Summarization Using Latent Narrative Structure
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.174.pdf
  • 代码链接:https://github.com/ppapalampidi/SUMMER

Unsupervised Opinion Summarization with Noising and Denoising
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.175.pdf
  • 代码链接:https://github.com/rktamplayo/DenoiseSum

Probing Linguistic Systematicity
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.177.pdf
  • 代码链接:https://github.com/emilygoodwin/systematicity

Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.179.pdf
  • 代码链接:https://github.com/forrestdavis/AmbiAttach

What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.181.pdf
  • 代码链接:https://github.com/langprocgroup/adjorder

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.184.pdf
  • 代码链接:https://github.com/thunlp/ConceptFlow

Negative Training for Neural Dialogue Response Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.185.pdf
  • 代码链接:https://github.mit.edu/tianxing/negativetraining_acl2020

Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.187.pdf
  • 代码链接:https://github.com/MSR-LIT/Splash

Calibrating Structured Output Predictors for Natural Language Processing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.188.pdf
  • 代码链接:https://github.com/abhyudaynj/StructuredPredictionCalibrationNLP

Active Imitation Learning with Noisy Guidance
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.189.pdf
  • 代码链接:https://github.com/xkianteb/leaqi

ExpBERT: Representation Engineering with Natural Language Explanations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.190.pdf
  • 代码链接:https://github.com/MurtyShikhar/ExpBERT

GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.191.pdf
  • 代码链接:https://github.com/crux82/ganbert

Generalizing Natural Language Analysis through Span-relation Representations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.192.pdf
  • 代码链接:https://github.com/neulab/cmu-multinlp

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.193.pdf
  • 代码链接:https://github.com/INK-USC/ConNet

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.194.pdf
  • 代码链接:https://github.com/GT-SALT/MixText

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.195.pdf
  • 代码链接:https://github.com/google-research/google-research/tree/master/mobilebert

Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.199.pdf
  • 代码链接:https://github.com/IBM/gnn-taxo-construction

Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.201.pdf
  • 代码链接:https://go.umd.edu/retro_clwe

XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.202.pdf
  • 代码链接:: https://aka.ms/XtremeDistil

A Girl Has A Name: Detecting Authorship Obfuscation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.203.pdf
  • 代码链接:https://github.com/asad1996172/Obfuscation-Detection

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.204.pdf
  • 代码链接:https://github.com/castorini/DeeBERT

Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.206.pdf
  • 代码链接:https://github.com/hcraighead/automated-english-transcription-grader

SPECTER: Document-level Representation Learning using Citation-informed Transformers
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.207.pdf
  • 代码链接:https://github.com/allenai/specter

Semantic Scaffolds for Pseudocode-to-Code Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.208.pdf
  • 代码链接:https://github.com/ruiqi-zhong/SemanticScaffold

INFOTABS: Inference on Tables as Semi-structured Data
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.210.pdf
  • 代码链接:https://infotabs.github.io/

Interactive Machine Comprehension with Information Seeking Agents
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.211.pdf
  • 代码链接:https://github.com/xingdi-eric-yuan/imrc_public

Syntactic Data Augmentation Increases Robustness to Inference Heuristics
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.212.pdf
  • 代码链接:https://github.com/Aatlantise/syntactic-augmentation-nli

Grounding Conversations with Improvised Dialogues
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.218.pdf
  • 代码链接:https://justin-cho.com/spolin

Learning an Unreferenced Metric for Online Dialogue Evaluation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.220.pdf
  • 代码链接:https://github.com/facebookresearch/online_dialog_eval

Neural Generation of Dialogue Response Timings
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.221.pdf
  • 代码链接:https://github.com/mattroddy/RTNets

The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.222.pdf
  • 代码链接:https://parl.ai/projects/dodecadialogue

Automatic Poetry Generation from Prosaic Text
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.223.pdf
  • 代码链接:https://github.com/timvdc/poetry

Enabling Language Models to Fill in the Blanks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.225.pdf
  • 代码链接:https://github.com/chrisdonahue/ilm

INSET: Sentence Infilling with INter-SEntential Transformer
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.226.pdf
  • 代码链接:https://github.com/dreasysnail/INSET

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.229.pdf
  • 代码链接:https://github.com/Sha-Lab/babywalk

Cross-media Structured Common Space for Multimedia Event Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.230.pdf
  • 代码链接:http://blender.cs.illinois.edu/software/m2e2/

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.233.pdf
  • 代码链接:https://github.com/jayleicn/recurrent-transformer

What is Learned in Visually Grounded Neural Syntax Acquisition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.234.pdf
  • 代码链接:https://github.com/lil-lab/vgnsl_analysis

A Batch Normalized Inference Network Keeps the KL Vanishing Away
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.235.pdf
  • 代码链接:https://github.com/valdersoul/bn-vae

Contextual Embeddings: When Are They Worth It?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.236.pdf
  • 代码链接:https://github.com/HazyResearch/random_embedding

Interactive Classification by Asking Informative Questions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.237.pdf
  • 代码链接:https://github.com/asappresearch/interactive-classification

Low Resource Sequence Tagging using Sentence Reconstruction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.239.pdf
  • 代码链接:https://github.com/tperl/Low-Resource-Sequence-Tagging-using-Sentence-Reconstruction

Masked Language Model Scoring
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.240.pdf
  • 代码链接:https://github.com/awslabs/mlm-scoring

Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.241.pdf
  • 代码链接:https://github.com/JD-AI-Research-Silicon-Valley/KGEmbedding-OTE

Posterior Calibrated Training on Sentence Classification Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.242.pdf
  • 代码链接:https://github.com/THEEJUNG/PosCal/

Posterior Control of Blackbox Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.243.pdf
  • 代码链接:https://github.com/XiangLi1999/PosteriorControl-NLG

Pretrained Transformers Improve Out-of-Distribution Robustness
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.244.pdf
  • 代码链接:https://github.com/camelop/NLP-Robustness

Robust Encodings: A Framework for Combating Adversarial Typos
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.245.pdf
  • 代码链接:https://bit.ly/2VSZI2e

Showing Your Work Doesn’t Always Work
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.246.pdf
  • 代码链接:https://github.com/castorini/meanmax

Topological Sort for Sentence Ordering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.248.pdf
  • 代码链接:https://github.com/shrimai/Topological-Sort-for-Sentence-Ordering

Weight Poisoning Attacks on Pretrained Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.249.pdf
  • 代码链接:https://github.com/neulab/RIPPLe

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.251.pdf
  • 代码链接:https://github.com/lifu-tu/ENGINE

Verbal Multiword Expressions for Identification of Metaphor
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.259.pdf
  • 代码链接:https://github.com/omidrohanian/metaphor_mwe

It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.263/
  • 代码链接:https://github.com/salesforce/morpheus

How Does Selective Mechanism Improve Self-Attention Networks?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.269.pdf
  • 代码链接:https://github.com/xwgeng/SSAN

Improving Transformer Models by Reordering their Sublayers
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.270.pdf
  • 代码链接:https://github.com/ofirpress/sandwich_transformer

Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.275.pdf
  • 代码链接:https://github.com/xlhex/dpe

Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.276.pdf
  • 代码链接:https://pratikjawanpuria.com/publications/

Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.277.pdf
  • 代码链接:https://github.com/ranqiu92/RecoverSAT

On the Inference Calibration of Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.278.pdf
  • 代码链接:https://github.com/shuo-git/InfECE

Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.279.pdf
  • 代码链接:https://github.com/Giruvegan/generative-camouflaged-spam-detector

Distinguish Confusing Law Articles for Legal Judgment Prediction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.280.pdf
  • 代码链接:https://github.com/prometheusXN/LADAN

Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.281.pdf
  • 代码链接:https://github.com/NKU-IIPLab/SAMA

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.285.pdf
  • 代码链接:http://moocdata.cn/data/MOOCCube

Analyzing the Persuasive Effect of Style in News Editorial Argumentation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.287.pdf
  • 代码链接:https://github.com/webis-de/acl20-editorials-style-persuasive-effect

Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.289.pdf
  • 代码链接:https://github.com/Determined22/Rank-Emotion-Cause

Embarrassingly Simple Unsupervised Aspect Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.290.pdf
  • 代码链接:https://github.com/clips/cat

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.292.pdf
  • 代码链接:https://github.com/declare-lab/kingdom

Relational Graph Attention Network for Aspect-based Sentiment Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.295.pdf
  • 代码链接:https://github.com/shenwzh3/RGAT-ABSA

A Span-based Linearization for Constituent Trees
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.299/
  • 代码链接:https://github.com/AntNLP/span-linearization-parser

An Empirical Comparison of Unsupervised Constituency Parsing Methods
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.300.pdf
  • 代码链接:https://github.com/i-lijun/UnsupConstParseEval

Efficient Constituency Parsing by Pointing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.301.pdf
  • 代码链接:https://ntunlpsg.github.io/project/parser/ptr-constituency-parser

Efficient Second-Order TreeCRF for Neural Dependency Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.302.pdf
  • 代码链接:https://github.com/yzhangcs/crfpar

Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.303.pdf
  • 代码链接:https://github.com/mlepori1/Representations_Of_Syntax

Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.304.pdf
  • 代码链接:https://github.com/Alibaba-NLP/MultilangStructureKD

Dynamic Online Conversation Recommendation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.305.pdf
  • 代码链接:https://github.com/zxshamson/dy-conv-rec

An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.309.pdf
  • 代码链接:https://github.com/aistairc/lm_syntax_negative

On the Robustness of Language Encoders against Grammatical Errors
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.310.pdf
  • 代码链接:https://github.com/uclanlp/ProbeGrammarRobustness

Roles and Utilization of Attention Heads in Transformer-based Neural Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.311.pdf
  • 代码链接:https://github.com/heartcored98/transformer_anatomy

Understanding Attention for Text Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.312.pdf
  • 代码链接:https://github.com/richardsun-voyager/UAFTC

A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.313.pdf
  • 代码链接:https://github.com/daiquocnguyen/R-MeN

Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.314.pdf
  • 代码链接:https://github.com/NingMiao/MC-tailor

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.315.pdf
  • 代码链接:https://github.com/lsvih/MWA

On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.316.pdf
  • 代码链接:https://github.com/ChenWu98/Coupled-VAE

SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.317.pdf
  • 代码链接:https://github.com/lushleaf/Structure-free-certified-NLP

A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.320.pdf
  • 代码链接:https://github.com/Imagist-Shuo/RRforUNMT.git

Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.322.pdf
  • 代码链接:https://github.com/libeineu/Context-Aware

Lexically Constrained Neural Machine Translation with Levenshtein Transformer
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.325.pdf
  • 代码链接:https://github.com/raymondhs/constrained-levt

On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.326.pdf
  • 代码链接:https://github.com/zippotju/Exposure-Bias-Hallucination-Domain-Shift

ChartDialogs: Plotting from Natural Language Instructions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.328.pdf
  • 代码链接:https://github.com/sythello/ChartDialog

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.330.pdf
  • 代码链接:https://github.com/WHUIR/MATINF

That is a Known Lie: Detecting Previously Fact-Checked Claims
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.332.pdf
  • 代码链接:https://github.com/sshaar/That-is-a-Known-Lie

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.333.pdf
  • 代码链接:https://github.com/alexzhou907/dialogue_evaluation

Biomedical Entity Representations with Synonym Marginalization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.335.pdf
  • 代码链接:https://github.com/dmis-lab/BioSyn

Hypernymy Detection for Low-Resource Languages via Meta Learning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.336.pdf
  • 代码链接:https://github.com/ccclyu/metaHypernymy

Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.340.pdf
  • 代码链接:https://github.com/NLPWM-WHU/RACL

SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.341.pdf
  • 代码链接:https://github.com/WadeYin9712/SentiBERT

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.342.pdf
  • 代码链接:https://github.com/HLT-HITSZ/TransECPE

CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.343.pdf
  • 代码链接:https://github.com/thuiar/MMSA

How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.345.pdf
  • 代码链接:https://github.com/archiki/ASR-Accent-Analysis/

Improving Disfluency Detection by Self-Training a Self-Attentive Model
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.346.pdf
  • 代码链接:https://github.com/pariajm/joint-disfluency-detection-and-parsing

Learning Spoken Language Representations with Neural Lattice Language Modeling
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.347.pdf
  • 代码链接:https://github.com/MiuLab/Lattice-ELMo

Meta-Transfer Learning for Code-Switched Speech Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.348.pdf
  • 代码链接:https://github.com/audioku/meta-transfer-learning

Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.355.pdf
  • 代码链接:https://github.com/h-shahidi/2birds-gen

SEEK: Segmented Embedding of Knowledge Graphs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.358.pdf
  • 代码链接:https://github.com/Wentao-Xu/SEEK

Graph-to-Tree Learning for Solving Math Word Problems
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.362.pdf
  • 代码链接:https://github.com/2003pro/Graph2Tree

Analysing Lexical Semantic Change with Contextualised Word Representations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.365.pdf
  • 代码链接:https://github.com/glnmario/cwr4lsc

BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.368.pdf
  • 代码链接:https://github.com/timoschick/bertram

CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.369.pdf
  • 代码链接:https://github.com/SapienzaNLP/clubert

GoEmotions: A Dataset of Fine-Grained Emotions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.372/
  • 代码链接:https://github.com/google-research/google-research/tree/master/goemotions

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.374.pdf
  • 代码链接:https://github.com/baidu/Senta

Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.376.pdf
  • 代码链接:https://github.com/danifg/InOrderSeq2seq

Max-Margin Incremental CCG Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.378.pdf
  • 代码链接:https://github.com/stanojevic/Rotating-CCG/tree/incremental_max_margin

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.380.pdf
  • 代码链接:https://github.com/ghzhang233/Non-Discrimination-Learning-for-Text-Classification

Analyzing analytical methods: The case of phonology in neural models of spoken language
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.381.pdf
  • 代码链接:https://github.com/gchrupala/analyzing-analytical-methods

Quantifying Attention Flow in Transformers
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.385.pdf
  • 代码链接:https://github.com/samiraabnar/attention_flow

Towards Transparent and Explainable Attention Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.387.pdf
  • 代码链接:https://github.com/akashkm99/Interpretable-Attention

Empowering Active Learning to Jointly Optimize System and User Demands
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.390.pdf
  • 代码链接:https://github.com/UKPLab/

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.391.pdf
  • 代码链接:https://github.com/kanekomasahiro/bert-gec

Toxicity Detection: Does Context Really Matter?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.396.pdf
  • 代码链接:https://github.com/ipavlopoulos/context_toxicity

AMR Parsing with Latent Structural Information
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.397.pdf
  • 代码链接:https://github.com/zhouqiji/ACL2020_AMR_Parsing

TaPas: Weakly Supervised Table Parsing via Pre-training
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.398.pdf
  • 代码链接:https://github.com/google-research/tapas

Target Inference in Argument Conclusion Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.399.pdf
  • 代码链接:https://github.com/webis-de/ACL-20

Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.401.pdf
  • 代码链接:http://www.iitp.ac.in/~ai-nlp-ml/resources.html

Towards Emotion-aided Multi-modal Dialogue Act Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.402.pdf
  • 代码链接:https://github.com/SenticNet/MELD

Analyzing Political Parody in Social Media
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.403.pdf
  • 代码链接:https://archive.org/details/parody_data_acl20

When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.405.pdf
  • 代码链接:https://github.com/kennyjoseph/embedding_impressions.

Compositionality and Generalization In Emergent Languages
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.407.pdf
  • 代码链接:https://github.com/facebookresearch/EGG/tree/master/egg/zoo/compo_vs_generalization

ERASER: A Benchmark to Evaluate Rationalized NLP Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.408.pdf
  • 代码链接:https://www.eraserbenchmark.com/

Learning to Faithfully Rationalize by Construction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.409.pdf
  • 代码链接:https://github.com/successar/FRESH

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.410.pdf
  • 代码链接:https://github.com/xiangyue9607/CliniRC

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.411.pdf
  • 代码链接:https://github.com/StonyBrookNLP/deformer

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.412.pdf
  • 代码链接:https://github.com/malllabiisc/EmbedKGQA

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.413.pdf
  • 代码链接:https://github.com/awslabs/unsupervised-qa

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.414.pdf
  • 代码链接:https://github.com/vikas95/AIR-retriever

A Corpus for Large-Scale Phonetic Typology
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.415.pdf
  • 代码链接:https://voxclamantisproject.github.io/

Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.416.pdf
  • 代码链接:https://github.com/LeonCrashCode/DRSScorer

Information-Theoretic Probing for Linguistic Structure
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.420.pdf
  • 代码链接:https://github.com/rycolab/info-theoretic-probing

On the Cross-lingual Transferability of Monolingual Representations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.421.pdf
  • 代码链接:https://github.com/deepmind/xquad

Similarity Analysis of Contextual Word Representation Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.422.pdf
  • 代码链接:https://github.com/johnmwu/contextual-corr-analysis

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.425.pdf
  • 代码链接:http://babelpic.org/

Modeling Label Semantics for Predicting Emotional Reactions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.426.pdf
  • 代码链接:https://github.com/StonyBrookNLP/emotion-label-semantics

Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.428.pdf
  • 代码链接:https://parl.ai/projects/dialogue_unlikelihood/

How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.429.pdf
  • 代码链接:https://github.com/yiyunzhao/negation-scope-probing

Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.431.pdf
  • 代码链接:https://github.com/rishibommasani/Contextual2Static

Learning to Deceive with Attention-Based Explanations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.432.pdf
  • 代码链接:https://github.com/danishpruthi/deceptive-attention

On the Spontaneous Emergence of Discrete and Compositional Signals
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.433.pdf
  • 代码链接:https://github.com/0xnurl/signaling-auto-encoder

Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.434.pdf
  • 代码链接: https://github.com/jklafka/context-probes.

Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.435.pdf
  • 代码链接:https://github.com/hyounghk/VideoQADenseCapFrameGate-ACL2020

Shaping Visual Representations with Language for Few-Shot Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.436.pdf
  • 代码链接:https://github.com/jayelm/lsl

Discrete Latent Variable Representations for Low-Resource Text Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.437.pdf
  • 代码链接:https://github.com/shuningjin/discrete-text-rep

Learning Constraints for Structured Prediction Using Rectifier Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.438.pdf
  • 代码链接:https://github.com/utahnlp/learning-constraints

Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.439.pdf
  • 代码链接:https://github.com/google-research/language/tree/master/language/conpono

A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.440.pdf
  • 代码链接:https://github.com/microsoft/multimodal-aligned-recipe-corpus

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.442.pdf
  • 代码链接:https://github.com/marcotcr/checklist

Code and Named Entity Recognition in StackOverflow
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.443.pdf
  • 代码链接:https://github.com/jeniyat/StackOverflowNER/

Dialogue-Based Relation Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.444.pdf
  • 代码链接:https://dataset.org/dialogre/

Facet-Aware Evaluation for Extractive Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.445.pdf
  • 代码链接:https://github.com/morningmoni/FAR

S2ORC: The Semantic Scholar Open Research Corpus
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.447.pdf
  • 代码链接:https://github.com/allenai/s2orc/

Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.448.pdf
  • 代码链接:https://github.com/nitikam/tangled

A Transformer-based Approach for Source Code Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.449.pdf
  • 代码链接:https://github.com/wasiahmad/NeuralCodeSum

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.450.pdf
  • 代码链接:https://github.com/W4ngatang/qags

Discourse-Aware Neural Extractive Text Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.451.pdf
  • 代码链接:https://github.com/jiacheng-xu/DiscoBERT

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.452.pdf
  • 代码链接:https://github.com/raphael-sch/HC_Sentence_Summarization

Exploring Content Selection in Summarization of Novel Chapters
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.453.pdf
  • 代码链接:https://github.com/manestay/novel-chapter-dataset

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.454.pdf
  • 代码链接:https://github.com/esdurmus/summary-faithfulness

Fact-based Content Weighting for Evaluating Abstractive Summarisation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.455.pdf
  • 代码链接:https://github.com/XinnuoXu/CorrFA_for_Summarizaion

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.456.pdf
  • 代码链接:https://github.com/jind11/TitleStylist

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.457.pdf
  • 代码链接:https://github.com/luyang-huang96/GraphAugmentedSum

The Summary Loop: Learning to Write Abstractive Summaries Without Examples
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.460.pdf
  • 代码链接:https://github.com/CannyLab/summary_loop

Unsupervised Opinion Summarization as Copycat-Review Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.461.pdf
  • 代码链接:https://github.com/ixlan/Copycat-abstractive-opinion-summarizer

How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.466.pdf
  • 代码链接:https://github.com/thunlp/CLAIM

What Does BERT with Vision Look At?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.469.pdf
  • 代码链接:https://github.com/uclanlp/visualbert

Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.470.pdf
  • 代码链接:http://convokit.cornell.edu/

Detecting Perceived Emotions in Hurricane Disasters
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.471.pdf
  • 代码链接:https://github.com/shreydesai/hurricane

Measuring Forecasting Skill from Text
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.473.pdf
  • 代码链接:https://github.com/viczong/measuring_forecasting_skill_from_text

Text-Based Ideal Points
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.475.pdf
  • 代码链接:http://github.com/keyonvafa/tbip

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.477.pdf
  • 代码链接:https://github.com/donovanOng/Would-you-Rather

Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.478.pdf
  • 代码链接:https://github.com/prafulla77/Discourse_Profiling

Harnessing the linguistic signal to predict scalar inferences
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.479.pdf
  • 代码链接:https://github.com/yuxingch/Implicature-Strength-Some

PeTra: A Sparsely Supervised Memory Model for People Tracking
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.481.pdf
  • 代码链接:https://github.com/shtoshni92/petra

ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.482.pdf
  • 代码链接:https://github.com/freesunshine0316/lab-zp-joint.

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.484.pdf
  • 代码链接:https://github.com/uvavision/Double-Hard-Debias.git

Towards Debiasing Sentence Representations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.488.pdf
  • 代码链接:https://github.com/pliang279/sent_debias

A Re-evaluation of Knowledge Graph Completion Methods
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.489.pdf
  • 代码链接:http://github.com/svjan5/kg-reeval

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.491.pdf
  • 代码链接:https://github.com/peterbhase/InterpretableNLP-ACL2020

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.492.pdf
  • 代码链接:https://github.com/xhan77/influence-function-analysis

Finding Universal Grammatical Relations in Multilingual BERT
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.493.pdf
  • 代码链接:https://github.com/ethanachi/multilingual-probing-visualization

Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.494.pdf
  • 代码链接:https://github.com/UVa-NLP/HEDGE

Obtaining Faithful Interpretations from Compositional Neural Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.495.pdf
  • 代码链接:https://github.com/allenai/faithful-nmn

Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.496.pdf
  • 代码链接:https://github.com/asappresearch/rationale-alignment

Benefits of Intermediate Annotations in Reading Comprehension
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.497.pdf
  • 代码链接:https://github.com/dDua/Intermediate_Annotations

Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.499.pdf
  • 代码链接:https://github.com/AkariAsai/logic_guided_qa

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.501.pdf
  • 代码链接:https://github.com/hao-cheng/ds_doc_qa

SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.502.pdf
  • 代码链接:https://github.com/shawnkx/SCDE

Selective Question Answering under Domain Shift
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.503.pdf
  • 代码链接:https://bit.ly/35inCah

The Cascade Transformer: an Application for Efficient Answer Sentence Selection
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.504.pdf
  • 代码链接:https://github.com/alexa/

Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.505.pdf
  • 代码链接:https://github.com/emorynlp/friendsqa

Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.506.pdf
  • 代码链接:https://github.com/allenai/HyBayes

STARC: Structured Annotations for Reading Comprehension
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.507.pdf
  • 代码链接:https://github.com/berzak/onestop-qa

WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.508.pdf
  • 代码链接:https://github.com/HKUST-KnowComp/WinoWhy

Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.510.pdf
  • 代码链接:https://github.com/google-research/BERT/blob/master/multilingual.md

Efficient Pairwise Annotation of Argument Quality
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.511.pdf
  • 代码链接:https://github.com/webis-de/ACL-20

OpinionDigest: A Simple Framework for Opinion Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.513.pdf
  • 代码链接:https://github.com/megagonlabs/opiniondigest

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.514.pdf
  • 代码链接:https://github.com/NastaranBa/preprocessing-for-word-representation

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.517.pdf
  • 代码链接:https://github.com/zequnl/CMAML

A Unified MRC Framework for Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.519.pdf
  • 代码链接:https://github.com/ShannonAI/mrc-for-flat-nested-ner

An Effective Transition-based Model for Discontinuous NER
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.520.pdf
  • 代码链接:https://bit.ly/2XazEAO

IMoJIE: Iterative Memory-Based Joint Open Information Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.521.pdf
  • 代码链接:https://github.com/dair-iitd/imojie

Improving Event Detection via Open-domain Trigger Knowledge
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.522.pdf
  • 代码链接:https://github.com/shuaiwa16/ekd.git

Multi-Cell Compositional LSTM for NER Domain Adaptation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.524.pdf
  • 代码链接:https://github.com/jiachenwestlake/Multi-Cell_LSTM

ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.526.pdf
  • 代码链接:https://github.com/JuneTse/ReInceptionE

Simplify the Usage of Lexicon in Chinese NER
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.528.pdf
  • 代码链接:https://github.com/v-mipeng/LexiconAugmentedNER

Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.530.pdf
  • 代码链接:https://github.com/sameenmaruf/acl2020-contextnmt-cataphora

FastBERT: a Self-distilling BERT with Adaptive Inference Time
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.537.pdf
  • 代码链接:https://github.com/autoliuweijie/FastBERT

Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.538.pdf
  • 代码链接:https://github.com/neulab/external-knowledge-codegen

Word-level Textual Adversarial Attacking as Combinatorial Optimization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.540.pdf
  • 代码链接:https://github.com/thunlp/SememePSO-Attack

Benchmarking Multimodal Regex Synthesis with Complex Structures
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.541.pdf
  • 代码链接:https://www.cs.utexas.edu/~xiye/streg/

Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.543.pdf
  • 代码链接:https://github.com/verypluming/systematicity

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.544.pdf
  • 代码链接:https://github.com/microsoft/EA-VQ-VAE

Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.550.pdf
  • 代码链接:https://github.com/XingXinyu96/citation_generation

Composing Elementary Discourse Units in Abstractive Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.551.pdf
  • 代码链接:https://github.com/PKU-TANGENT/EDUSum

Extractive Summarization as Text Matching
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.552.pdf
  • 代码链接:https://github.com/maszhongming/MatchSum

Heterogeneous Graph Neural Networks for Extractive Document Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.553.pdf
  • 代码链接:https://github.com/brxx122/HeterSUMGraph

Leveraging Graph to Improve Abstractive Multi-Document Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.555.pdf
  • 代码链接:https://github.com/PaddlePaddle/Research/tree/master/NLP/ACL2020-GraphSum

Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.556.pdf
  • 代码链接:https://github.com/zhongxia96/MGSum

A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.563.pdf
  • 代码链接:https://github.com/ictnlp/CHAN-DST

Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.565.pdf
  • 代码链接:https://github.com/LooperXX/DF-Net

Speaker Sensitive Response Evaluation Model
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.568.pdf
  • 代码链接:https://github.com/NoSyu/SSREM

Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.570.pdf
  • 代码链接:https://github.com/sduttap16/MM_PPI_NLP

Bipartite Flat-Graph Network for Nested Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.571.pdf
  • 代码链接:https://github.com/cslydia/BiFlaG

Connecting Embeddings for Knowledge Graph Entity Typing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.572.pdf
  • 代码链接:https://github.com/Adam1679/ConnectE

Continual Relation Learning via Episodic Memory Activation and Reconsolidation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.573.pdf
  • 代码链接:https://github.com/thunlp/ContinualRE

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.575.pdf
  • 代码链接:https://github.com/hiroki13/instance-based-ner.git

MIE: A Medical Information Extractor towards Medical Dialogues
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.576.pdf
  • 代码链接:https://github.com/nlpir2020/MIE-ACL-2020.

Named Entity Recognition as Dependency Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.577.pdf
  • 代码链接:https://github.com/juntaoy/biaffine-ner

Cross-modal Coherence Modeling for Caption Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.583.pdf
  • 代码链接:https://github.com/malihealikhani/Cross-modal

Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.584.pdf
  • 代码链接:https://github.com/clause-jena/colour-term-grounding

Span-based Localizing Network for Natural Language Video Localization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.585.pdf
  • 代码链接:https://github.com/IsaacChanghau/VSLNet

Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.586.pdf
  • 代码链接:https://github.com/aws/aws-refcocog-adv

A Mixture of h - 1 Heads is Better than h Heads
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.587.pdf
  • 代码链接:https://github.com/Noahs-ARK/MAE

Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.588.pdf
  • 代码链接:https://github.com/tomsonsgs/DGEDT-senti-master

Differentiable Window for Dynamic Local Attention
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.589.pdf
  • 代码链接:https://ntunlpsg.github.io/project/dynamic-attention/

Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.590.pdf
  • 代码链接:https://github.com/zjiehang/DPAttack

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.591.pdf
  • 代码链接:https://github.com/wenyudu/SDLM

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.595.pdf
  • 代码链接:https://github.com/Alibaba-NLP/DAAT-CWS

Modeling Morphological Typology for Unsupervised Learning of Language Morphology
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.596.pdf
  • 代码链接:https://github.com/xuhongzhi/ParaMA2

Predicting Declension Class from Form and Meaning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.597.pdf
  • 代码链接:https://github.com/rycolab/declension-mi

Unsupervised Morphological Paradigm Completion
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.598.pdf
  • 代码链接:https://github.com/cai-lw/morpho-baseline

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.599.pdf
  • 代码链接:https://github.com/DancingSoul/NQ_BERT-DM

Harvesting and Refining Question-Answer Pairs for Unsupervised QA
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.600.pdf
  • 代码链接:https://github.com/Neutralzz/RefQA

R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.602.pdf
  • 代码链接:https://naoya-i.github.io/r4c/

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.603.pdf
  • 代码链接:https://github.com/HongyuGong/RCM-Question-Answering.git

Parsing into Variable-in-situ Logico-Semantic Graphs
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.605.pdf
  • 代码链接:https://github.com/draplater/var-parser/

Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.607.pdf
  • 代码链接:https://github.com/JZXXX/Semi-SDP

DRTS Parsing with Structure-Aware Encoding and Decoding
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.609.pdf
  • 代码链接:http://github.com/seanblank/DRTSparsing

A Two-Stage Masked LM Method for Term Set Expansion
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.610.pdf
  • 代码链接:https://github.com/guykush/TermSetExpansion-MPB/

FLAT: Chinese NER Using Flat-Lattice Transformer
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.611.pdf
  • 代码链接:https://github.com/LeeSureman/Flat-Lattice-Transformer

Improving Entity Linking through Semantic Reinforced Entity Embeddings
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.612.pdf
  • 代码链接:https://github.com/fhou80/EntEmb/

Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.615.pdf
  • 代码链接:https://github.com/rycolab/entropyRegularization

Highway Transformer: Self-Gating Enhanced Self-Attentive Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.616.pdf
  • 代码链接:https://github.com/cyk1337/Highway-Transformer

Low-Dimensional Hyperbolic Knowledge Graph Embeddings
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.617.pdf
  • 代码链接:https://github.com/tensorflow/neural-structured-learning/tree/master/research/kg_hyp_emb

Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.618.pdf
  • 代码链接:https://github.com/mladenk42/ClassyMap

Uncertainty-Aware Curriculum Learning for Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.620.pdf
  • 代码链接:https://github.com/NLP2CT/ua-cl-nmt

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.621.pdf
  • 代码链接:https://github.com/boschresearch/joint_anonymization_extraction

From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.624.pdf
  • 代码链接:https://github.com/UKPLab/acl2020-interactive-entity-linking

Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.625.pdf
  • 代码链接:https://github.com/tjingrant/n3cr

Controlled Crowdsourcing for High-Quality QA-SRL Annotation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.626.pdf
  • 代码链接:https://github.com/plroit/qasrl-gs

Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.627.pdf
  • 代码链接:https://github.com/scofield7419/XSRL-ACL

Transition-based Semantic Dependency Parsing with Pointer Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.629.pdf
  • 代码链接:https://github.com/danifg/SemanticPointer

tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.630.pdf
  • 代码链接:https://github.com/wuningxi/tBERT

Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.632.pdf
  • 代码链接:https://github.com/webis-de/ACL-20

Diversifying Dialogue Generation with Non-Conversational Text
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.634.pdf
  • 代码链接:https://github.com/chin-gyou/Div-Non-Conv

KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.635.pdf
  • 代码链接:https://github.com/thu-coai/KdConv

Multi-Domain Dialogue Acts and Response Co-Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.638.pdf
  • 代码链接:https://github.com/InitialBug/MarCo-Dialog

Heterogeneous Graph Transformer for Graph-to-Sequence Learning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.640.pdf
  • 代码链接:https://github.com/QAQ-v/HetGT

Refer360: A Referring Expression Recognition Dataset in 360 Images
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.644.pdf
  • 代码链接:https://github.com/volkancirik/refer360

CamemBERT: a Tasty French Language Model
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.645.pdf
  • 代码链接:https://camembert-model.fr/

Effective Estimation of Deep Generative Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.646.pdf
  • 代码链接:https://github.com/tom-pelsmaeker/deep-generative-lm

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.647.pdf
  • 代码链接:https://github.com/Shaul1321/nullspace_projection

2kenize: Tying Subword Sequences for Chinese Script Conversion
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.648.pdf
  • 代码链接:https://github.com/pranav-ust/2kenize

Predicting the Growth of Morphological Families from Social and Linguistic Factors
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.649.pdf
  • 代码链接:https://github.com/valentinhofmann/mfep

Semi-supervised Contextual Historical Text Normalization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.650.pdf
  • 代码链接:https://github.com/coastalcph/histnorm/

ClarQ: A large-scale and diverse dataset for Clarification Question Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.651.pdf
  • 代码链接:https://github.com/vaibhav4595/ClarQ

MLQA: Evaluating Cross-lingual Extractive Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.653.pdf
  • 代码链接:https://github.com/facebookresearch/mlqa

Fine-grained Fact Verification with Kernel Graph Attention Network
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.655.pdf
  • 代码链接:https://github.com/thunlp/KernelGAT

Premise Selection in Natural Language Mathematical Texts
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.657.pdf
  • 代码链接:[https://github.com/ai-systems/premise selection graph]

Improving Image Captioning with Better Use of Caption
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.664.pdf
  • 代码链接:https://github.com/Gitsamshi/WeakVRD-Captioning

Toward Better Storylines with Sentence-Level Language Models
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.666.pdf
  • 代码链接:https://github.com/google-research/google-research/tree/master/better_storylines

A Two-Step Approach for Implicit Event Argument Detection
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.667.pdf
  • 代码链接:https://github.com/zzsfornlp/zmsp

Machine Reading of Historical Events
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.668.pdf
  • 代码链接:https://github.com/ltorroba/machine-reading-historical-events

Revisiting Unsupervised Relation Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.669.pdf
  • 代码链接:https://github.com/ttthy/ure

SciREX: A Challenge Dataset for Document-Level Information Extraction
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.670.pdf
  • 代码链接:https://github.com/allenai/SciREX

Contrastive Self-Supervised Learning for Commonsense Reasoning
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.671.pdf
  • 代码链接:https://github.com/SAP-samples/acl2020-commonsense/

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.677.pdf
  • 代码链接:https://github.com/Microsoft/rat-sql

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.679.pdf
  • 代码链接:https://github.com/mhany90/enhanced_wsc/

Temporally-Informed Analysis of Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.680.pdf
  • 代码链接:https://github.com/shrutirij/temporal-twitter-corpus

Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.681.pdf
  • 代码链接:https://github.com/aakanksha19/ODETTE

Cross-Modality Relevance for Reasoning on Language and Vision
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.683.pdf
  • 代码链接:https://github.com/HLR/Cross_Modality_Relevance

Hard-Coded Gaussian Attention for Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.687.pdf
  • 代码链接:https://github.com/fallcat/stupidNMT

The Paradigm Discovery Problem
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.695.pdf
  • 代码链接:https://github.com/alexerdmann/ParadigmDiscovery

Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.696.pdf
  • 代码链接:https://github.com/aryamanarora/schwa-deletion

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.698.pdf
  • 代码链接:https://github.com/norakassner/LAMA_primed_negated

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.703.pdf
  • 代码链接:https://github.com/pytorch/fairseq

BLEURT: Learning Robust Metrics for Text Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.704.pdf
  • 代码链接:http://github.com/google-research/

Distilling Knowledge Learned in BERT for Text Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.705.pdf
  • 代码链接:https://github.com/ChenRocks/Distill-BERT-Textgen

ESPRIT: Explaining Solutions to Physical Reasoning Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.706.pdf
  • 代码链接:https://github.com/salesforce/esprit

Iterative Edit-Based Unsupervised Sentence Simplification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.707.pdf
  • 代码链接:https://github.com/ddhruvkr/Edit-Unsup-TS

Logical Natural Language Generation from Open-Domain Tables
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.708.pdf
  • 代码链接:https://github.com/wenhuchen/LogicNLG

Neural CRF Model for Sentence Alignment in Text Simplification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.709.pdf
  • 代码链接:https://github.com/chaojiang06/wiki-auto

One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.710.pdf
  • 代码链接:https://github.com/memray/OpenNMT-kpg-release

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.711.pdf
  • 代码链接:https://github.com/tuhinjubcse/SarcasmGeneration-ACL2020

Structural Information Preserving for Graph-to-Text Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.712.pdf
  • 代码链接:http://github.com/Soistesimmer/AMR-multiview.

Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.714.pdf
  • 代码链接:https://github.com/xinyadu/doc_event_role

From English to Code-Switching: Transfer Learning with Strong Morphological Clues
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.716.pdf
  • 代码链接:http://github.com/RiTUAL-UH/cs_elmo

Rationalizing Medical Relation Prediction from Corpus-level Statistics
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.719.pdf
  • 代码链接:https://github.com/zhenwang9102/X-MedRELA

Sources of Transfer in Multilingual Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.720.pdf
  • 代码链接:https://github.com/davidandym/multilingual-NER

Soft Gazetteers for Low-Resource Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.722.pdf
  • 代码链接:https://github.com/neulab/soft-gazetteers

Empower Entity Set Expansion via Language Model Probing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.725.pdf
  • 代码链接:https://github.com/yzhan238/CGExpan

Feature Projection for Improved Text Classification
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.726.pdf
  • 代码链接:https://github.com/Qqinmaster/FP-Net/

History for Visual Dialog: Do we really need it?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.728.pdf
  • 代码链接:https://github.com/shubhamagarwal92/visdial_conv

Mapping Natural Language Instructions to Mobile UI Action Sequences
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.729.pdf
  • 代码链接:https://github.com/google-research/google-research/tree/master/seq2act

TVQA+: Spatio-Temporal Grounding for Video Question Answering
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.730.pdf
  • 代码链接:https://github.com/jayleicn/TVQAplus

Improving Chinese Word Segmentation with Wordhood Memory Networks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.734.pdf
  • 代码链接:https://github.com/SVAIGBA/WMSeg

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.735.pdf
  • 代码链接:https://github.com/SVAIGBA/TwASP

Phonetic and Visual Priors for Decipherment of Informal Romanization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.737.pdf
  • 代码链接:https://github.com/ryskina/romanization-decipherment

Active Learning for Coreference Resolution using Discrete Annotation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.738.pdf
  • 代码链接:https://github.com/belindal/discrete-active-learning-coref

Beyond Possession Existence: Duration and Co-Possession
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.739.pdf
  • 代码链接:http://dhivyachinnappa.com/

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.740.pdf
  • 代码链接:https://github.com/allenai/dont-stop-pretraining

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.742.pdf
  • 代码链接:https://github.com/google-research/language/tree/master/language/xsp

Predicting the Focus of Negation: Model and Error Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.743.pdf
  • 代码链接:https://github.com/mosharafhossain/focus-of-negation

Structured Tuning for Semantic Role Labeling
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.744.pdf
  • 代码链接:https://github.com/utahnlp/structured_tuning_srl

A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.748.pdf
  • 代码链接:https://github.com/dongfang91/Generate-and-Rank-ConNorm

Hierarchical Entity Typing via Multi-level Learning to Rank
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.749.pdf
  • 代码链接:https://github.com/ctongfei/hierarchical-typing

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.752.pdf
  • 代码链接:http://github.com/INK-USC/TriggerNER

Balancing Training for Multilingual Neural Machine Translation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.754.pdf
  • 代码链接:https://github.com/cindyxinyiwang/fairseq/tree/multiDDS

A Multi-Perspective Architecture for Semantic Code Search
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.758.pdf
  • 代码链接:https://github.com/rajarshihaldar/codetextmatch

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.761.pdf
  • 代码链接:https://github.com/chridey/fever2-columbia

Multi-Label and Multilingual News Framing Analysis
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.763.pdf
  • 代码链接:https://github.com/feyzaakyurek/newsframing

Predicting Performance for Natural Language Processing Tasks
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.764.pdf
  • 代码链接:https://github.com/xiamengzhou/NLPerf

ScriptWriter: Narrative-Guided Script Generation
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.765.pdf
  • 代码链接:https://github.com/DaoD/ScriptWriter

Should All Cross-Lingual Embeddings Speak English?
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.766.pdf
  • 代码链接:https://github.com/antonisa/embeddings

Smart To-Do: Automatic Generation of To-Do Items from Emails
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.767.pdf
  • 代码链接:https://aka.ms/SmartToDo

End-to-End Bias Mitigation by Modelling Biases in Corpora
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.769.pdf
  • 代码链接:https://github.com/rabeehk/robust-nli

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.770.pdf
  • 代码链接:https://github.com/UKPLab/acl2020-confidence-regularization

NILE : Natural Language Inference with Faithful Natural Language Explanations
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.771.pdf
  • 代码链接:https://github.com/SawanKumar28/nile

QuASE: Question-Answer Driven Sentence Encoding
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.772.pdf
  • 代码链接:https://github.com/CogComp/QuASE

Towards Robustifying NLI Models Against Lexical Dataset Biases
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.773.pdf
  • 代码链接:https://github.com/owenzx/LexicalDebias-ACL2020

Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.775.pdf
  • 代码链接:https://github.com/tzshi/flat-mwe-parsing

Revisiting Higher-Order Dependency Parsers
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.776.pdf
  • 代码链接:ht国际自然语言处理领域顶级学术会议
  • tps://github.com/deep-spin/pyturbo/

Treebank Embedding Vectors for Out-of-domain Dependency Parsing
  • 论文链接:https://www.aclweb.org/anthology/2020.acl-main.778.pdf
  • 代码链接:https://github.com/jowagner/tbev-prediction
    (公众号机器学习算法与自然语言处理) 转载自知乎用户:忆臻PHD Candidate


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