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    ACL 2021 主会571篇长文分类汇总(下)

    顶会期刊
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      151****8705 last edited by 151****8705

      自然语言处理机器学习

      Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
      DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
      Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering
      ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing
      Automated Concatenation of Embeddings for Structured Prediction
      Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
      The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
      Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
      N-ary Constituent Tree Parsing with Recursive Semi-Markov Model
      Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
      Parameter-Efficient Transfer Learning with Diff Pruning
      Self-Attention Networks Can Process Bounded Hierarchical Languages
      Are Pretrained Convolutions Better than Pretrained Transformers?
      Lightweight Cross-Lingual Sentence Representation Learning
      LeeBERT: Learned Early Exit for BERT with cross-level optimization
      On Finding the K-best Non-projective Dependency Trees
      ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
      Learning Dense Representations of Phrases at Scale
      Rational LAMOL: A Rationale-based Lifelong Learning Framework
      Dynamic Contextualized Word Embeddings
      Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
      Unsupervised Out-of-Domain Detection via Pre-trained Transformers
      Weight Distillation: Transferring the Knowledge in Neural Network Parameters
      A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
      Determinantal Beam Search
      Self-Guided Contrastive Learning for BERT Sentence Representations
      Pre-training Universal Language Representation
      Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
      Cascaded Head-colliding Attention
      Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
      AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
      Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models
      Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
      Obtaining Better Static Word Embeddings Using Contextual Embedding Models
      Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental
      Reservoir Transformers
      Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning
      TAN-NTM: Topic Attention Networks for Neural Topic Modeling
      Modeling Fine-Grained Entity Types with Box Embeddings
      An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
      HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability
      Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
      ReadOnce Transformers: Reusable Representations of Text for Transformers
      Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism
      Bootstrapped Unsupervised Sentence Representation Learning
      Risk Minimization for Zero-shot Sequence Labeling
      Exploring Distantly-Labeled Rationales in Neural Network Models
      Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
      H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences

      机器翻译与多语言

      How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
      Cross-Lingual Abstractive Summarization with Limited Parallel Resources
      Rewriter-Evaluator Architecture for Neural Machine Translation
      SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation
      Consistency Regularization for Cross-Lingual Fine-Tuning
      Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
      Improving Zero-Shot Translation by Disentangling Positional Information
      Fast and Accurate Neural Machine Translation with Translation Memory
      Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation
      COSY: COunterfactual SYntax for Cross-Lingual Understanding
      A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment
      Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring
      Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training
      Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
      Verb Knowledge Injection for Multilingual Event Processing
      Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
      Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation
      VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
      Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment
      Importance-based Neuron Allocation for Multilingual Neural Machine Translation
      Neural Machine Translation with Monolingual Translation Memory
      VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
      G-Transformer for Document-Level Machine Translation
      Prevent the Language Model from being Overconfident in Neural Machine Translation
      Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models
      On Compositional Generalization of Neural Machine Translation
      Mask-Align: Self-Supervised Neural Word Alignment
      GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation
      Selective Knowledge Distillation for Neural Machine Translation
      Mid-Air Hand Gestures for Post-Editing of Machine Translation
      Towards User-Driven Neural Machine Translation
      XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation
      Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
      Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
      MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER
      Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
      Attention Calibration for Transformer in Neural Machine Translation
      Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
      Learning Language Specific Sub-network for Multilingual Machine Translation
      UXLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP
      Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
      A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
      Cross-language Sentence Selection via Data Augmentation and Rationale Training
      Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
      Measuring and Increasing Context Usage in Context-Aware Machine Translation
      Evaluating morphological typology in zero-shot cross-lingual transfer
      Do Context-Aware Translation Models Pay the Right Attention?
      Diverse Pretrained Context Encodings Improve Document Translation
      Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
      Measure and Evaluation of Semantic Divergence across Two Languages
      Discriminative Reranking for Neural Machine Translation
      Data Augmentation with Adversarial Training for Cross-Lingual NLI
      End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
      Syntax-augmented Multilingual BERT for Cross-lingual Transfer
      Language Embeddings for Typology and Cross-lingual Transfer Learning
      Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
      Neural semi-Markov CRF for Monolingual Word Alignment
      Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
      Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
      How to Adapt Your Pretrained Multilingual Model to 1600 Languages
      Vocabulary Learning via Optimal Transport for Neural Machine Translation
      Glancing Transformer for Non-Autoregressive Neural Machine Translation
      Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
      AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER

      自然语言处理应用

      Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
      HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations
      Claim Matching Beyond English to Scale Global Fact-Checking
      Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
      Math Word Problem Solving with Explicit Numerical Values
      Breaking Down the Invisible Wall of Informal Fallacies in Online Discussions
      ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation
      Align Voting Behavior with Public Statements for Legislator Representation Learning
      Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
      Including Signed Languages in Natural Language Processing
      Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge
      InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
      EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
      HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
      Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability
      Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
      Explaining Relationships Between Scientific Documents
      Every Bite Is an Experience: Key Point Analysis of Business Reviews
      PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
      How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements
      Engage the Public: Poll Question Generation for Social Media Posts
      Towards Argument Mining for Social Good: A Survey
      What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
      Assessing Emoji Use in Modern Text Processing Tools
      Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
      Early Detection of Sexual Predators in Chats
      Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
      Learning Prototypical Functions for Physical Artifacts
      The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
      Stance Detection in COVID-19 Tweets
      Surprisal Estimators for Human Reading Times Need Character Models
      Intrinsic Bias Metrics Do Not Correlate with Application Bias
      Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques

      音韵学、形态学和分词

      Prosodic segmentation for parsing spoken dialogue
      Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words
      An In-depth Study on Internal Structure of Chinese Words
      Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter
      Evaluating morphological typology in zero-shot cross-lingual transfer
      To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings
      End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
      A unified approach to sentence segmentation of punctuated text in many languages

      问答
      Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
      Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
      Explanations for CommonsenseQA: New Dataset and Models
      Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
      CoSQA: 20,000+ Web Queries for Code Search and Question Answering
      End-to-End Training of Neural Retrievers for Open-Domain Question Answering
      Few-Shot Question Answering by Pretraining Span Selection
      Robustifying Multi-hop QA through Pseudo-Evidentiality Training
      Generation-Augmented Retrieval for Open-Domain Question Answering
      Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
      xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
      TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
      A Semantic-based Method for Unsupervised Commonsense Question Answering
      A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
      Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval
      Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering
      Engage the Public: Poll Question Generation for Social Media Posts
      Question Answering Over Temporal Knowledge Graphs
      Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
      UnitedQA: A Hybrid Approach for Open Domain Question Answering
      ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
      Recursive Tree-Structured Self-Attention for Answer Sentence Selection
      GTM: A Generative Triple-wise Model for Conversational Question Generation
      Joint Models for Answer Verification in Question Answering Systems
      Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering
      Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering
      A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding
      Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
      Check It Again: Progressive Visual Question Answering via Visual Entailment
      A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
      Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
      Learning to Perturb Word Embeddings for Out-of-distribution QA

      数据集、资源和评估

      Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification
      Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
      PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling
      OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
      Explanations for CommonsenseQA: New Dataset and Models
      A Large-Scale Chinese Multimodal NER Dataset with Speech Clues
      Evaluation of Thematic Coherence in Microblogs
      Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
      Few-NERD: A Few-shot Named Entity Recognition Dataset
      Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
      MultiMET: A Multimodal Dataset for Metaphor Understanding
      Towards Quantifiable Dialogue Coherence Evaluation
      Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
      A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
      Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
      RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
      DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
      VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
      SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis
      PENS: A Dataset and Generic Framework for Personalized News Headline Generation
      Language Model Evaluation Beyond Perplexity
      A Dataset and Baselines for Multilingual Reply Suggestion
      Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
      RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
      Comparing Test Sets with Item Response Theory
      CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
      Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort
      Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL
      Better than Average: Paired Evaluation of NLP systems
      Measure and Evaluation of Semantic Divergence across Two Languages
      Handling Extreme Class Imbalance in Technical Logbook Datasets
      DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions
      The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
      Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference
      KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
      The statistical advantage of automatic NLG metrics at the system level
      All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text
      DynaEval: Unifying Turn and Dialogue Level Evaluation
      A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
      Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines
      Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
      QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus
      ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
      Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
      TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models
      On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation

      句子级语义和文本推理

      Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
      KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference
      Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
      LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
      Evidence-based Factual Error Correction
      Learning Faithful Representations of Causal Graphs
      UnNatural Language Inference
      COSY: COunterfactual SYntax for Cross-Lingual Understanding
      Counterfactual Inference for Text Classification Debiasing
      Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
      Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy
      Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
      COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
      DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
      Reasoning over Entity-Action-Location Graph for Procedural Text Understanding
      From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
      Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
      Semantic Representation for Dialogue Modeling
      Span-based Semantic Parsing for Compositional Generalization
      Accelerating BERT Inference for Sequence Labeling via Early-Exit
      De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
      Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews
      Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
      Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
      ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
      KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
      TIMEDIAL: Temporal Commonsense Reasoning in Dialog
      Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
      Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation
      Value-Agnostic Conversational Semantic Parsing
      Factoring Statutory Reasoning as Language Understanding Challenges
      Data Augmentation with Adversarial Training for Cross-Lingual NLI
      Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
      Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
      Alignment Rationale for Natural Language Inference
      Learning Event Graph Knowledge for Abductive Reasoning
      CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
      Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs

      情感分析、文体分析

      Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
      Multi-Label Few-Shot Learning for Aspect Category Detection
      Adversarial Learning for Discourse Rhetorical Structure Parsing
      Directed Acyclic Graph Network for Conversational Emotion Recognition
      DynaSent: A Dynamic Benchmark for Sentiment Analysis
      MultiMET: A Multimodal Dataset for Metaphor Understanding
      Verb Metaphor Detection via Contextual Relation Learning
      A DQN-based Approach to Finding Precise Evidences for Fact Verification
      CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network
      Distributed Representations of Emotion Categories in Emotion Space
      DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations
      Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities
      A Unified Generative Framework for Aspect-based Sentiment Analysis
      Hate Speech Detection Based on Sentiment Knowledge Sharing
      MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
      Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
      Structured Sentiment Analysis as Dependency Graph Parsing
      Syntopical Graphs for Computational Argumentation Tasks
      Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding

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