ACL 2021 主会571篇长文分类汇总（下）
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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