ACL 2020 Papers

Statistics and accepted paper list of ACL 2020 with arXiv link, inspired by ICCV-2019-Paper-Statistics and EMNLP-2019-Papers.

Contributing: Please feel free to make pull requests.

ACL 2020 Acceptance Rate

ACL 2020 Paper Keywords

Accepted Papers with arXiv Link

1. Long Papers
2. Short Papers
3. System Demonstrations
4. Student Research Workshop

• There is a much readable paper list sorted by topics. (contributed by hunkim!)

Long Papers

• 2kenize: Tying Subword Sequences for Chinese Script Conversion [arXiv]
• A Batch Normalized Inference Network Keeps the KL Vanishing Away [arXiv]
• A Call for More Rigor in Unsupervised Cross-lingual Learning [arXiv]
• A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
• A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking
• A Corpus for Large-Scale Phonetic Typology [arXiv]
• A Formal Hierarchy of RNN Architectures [arXiv]
• A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization
• A Generative Model for Joint Natural Language Understanding and Generation
• A Girl Has A Name: Detecting Authorship Obfuscation [arXiv]
• A Graph Auto-encoder Model of Derivational Morphology
• A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction
• A Joint Model for Document Segmentation and Segment Labeling
• A Joint Neural Model for Information Extraction with Global Features
• A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation [arXiv]
• A Mixture of h − 1 Heads is Better than h Heads [arXiv]
• A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
• A Multitask Learning Approach for Diacritic Restoration
• A Novel Cascade Binary Tagging Framework for Relational Triple Extraction [arXiv]
• A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
• A Prioritization Model for Suicidality Risk Assessment
• A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks [arXiv]
• A Reinforced Generation of Adversarial Examples for Neural Machine Translation [arXiv]
• A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction [arXiv]
• A Span-based Linearization for Constituent Trees [arXiv]
• A Study of Non-autoregressive Model for Sequence Generation [arXiv]
• A Systematic Assessment of Syntactic Generalization in Neural Language Models [arXiv]
• A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type [arXiv]
• A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure [arXiv]
• A Unified MRC Framework for Named Entity Recognition [arXiv]
• Adaptive Compression of Word Embeddings
• Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation
• AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
• Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis
• Adversarial NLI: A New Benchmark for Natural Language Understanding [arXiv]
• Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity
• Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
• Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification
• AMR Parsing via Graph-Sequence Iterative Inference [arXiv]
• AMR Parsing with Latent Structural Information
• An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models [arXiv]
• An Effective Transition-based Model for Discontinuous NER [arXiv]
• An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
• An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering
• Analysing Lexical Semantic Change with Contextualised Word Representations
• Analyzing analytical methods: The case of phonology in neural models of spoken language [arXiv]
• Analyzing Political Parody in Social Media [arXiv]
• Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition [arXiv]
• Asking and Answering Questions to Evaluate the Factual Consistency of Summaries [arXiv]
• Aspect Sentiment Classification with Document-level Sentiment Preference Modeling
• ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations [arXiv]
• Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization
• Attentive Pooling with Learnable Norms for Text Representation
• Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics [arXiv]
• Automated Evaluation of Writing – 50 Years and Counting
• Automatic Detection of Generated Text is Easiest when Humans are Fooled [arXiv]
• Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study
• Automatic Poetry Generation from Prosaic Text
• BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps [arXiv]
• Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards [arXiv]
• Balancing Training for Multilingual Neural Machine Translation [arXiv]
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [arXiv]
• Benchmarking Multimodal Regex Synthesis with Complex Structures [arXiv]
• BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance [arXiv]
• Beyond Accuracy: Behavioral Testing of NLP Models with CheckList [arXiv]
• Beyond Possession Existence: Duration and Co-Possession
• Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation [arXiv]
• Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
• Biomedical Entity Representations with Synonym Marginalization [arXiv]
• Bipartite Flat-Graph Network for Nested Named Entity Recognition [arXiv]
• BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection
• BLEURT: Learning Robust Metrics for Text Generation [arXiv]
• Boosting Neural Machine Translation with Similar Translations
• Bootstrapping Techniques for Polysynthetic Morphological Analysis [arXiv]
• BPE-Dropout: Simple and Effective Subword Regularization [arXiv]
• Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information
• Bridging Anaphora Resolution as Question Answering [arXiv]
• Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation
• Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell
• Calibrating Structured Output Predictors for Natural Language Processing [arXiv]
• CamemBERT: a Tasty French Language Model [arXiv]
• Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction
• Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills [arXiv]
• CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation [arXiv]
• ChartDialogs: Plotting from Natural Language Instructions
• CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
• Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
• Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset [arXiv]
• CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages
• CluHTM - Semantic Hierarchical Topic Modeling based on CluWords
• Code and Named Entity Recognition in StackOverflow [arXiv]
• CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
• Compositionality and Generalization In Emergent Languages [arXiv]
• Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation [arXiv]
• Connecting Embeddings for Knowledge Graph Entity Typing
• Contextualized Weak Supervision for Text Classification
• Continual Relation Learning via Episodic Memory Activation and Reconsolidation
• Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
• CorefQA: Coreference Resolution as Query-based Span Prediction [arXiv]
• Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
• CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant [arXiv]
• Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus [arXiv]
• Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning
• Cross-Linguistic Syntactic Evaluation of Word Prediction Models [arXiv]
• Cross-media Structured Common Space for Multimedia Event Extraction [arXiv]
• Cross-modal Coherence Modeling for Caption Generation [arXiv]
• Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage [arXiv]
• Cross-Modality Relevance for Reasoning on Language and Vision [arXiv]
• Curriculum Learning for Natural Language Understanding
• Curriculum Pre-training for End-to-End Speech Translation [arXiv]
• Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight [arXiv]
• DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering [arXiv]
• Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting [arXiv]
• Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA [arXiv]
• Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
• DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking [arXiv]
• Detecting Perceived Emotions in Hurricane Disasters [arXiv]
• Dialogue Coherence Assessment Without Explicit Dialogue Act Labels
• Dialogue-Based Relation Extraction [arXiv]
• Dice Loss for Data-imbalanced NLP Tasks [arXiv]
• Differentiable Window for Dynamic Local Attention
• Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
• Discourse-Aware Neural Extractive Text Summarization [arXiv]
• Discrete Latent Variable Representations for Low-Resource Text Classification
• Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction [arXiv]
• Distilling Annotations via Active Imitation Learning
• Distilling Knowledge Learned in BERT for Text Generation [arXiv]
• Distinguish Confusing Law Articles for Legal Judgment Prediction [arXiv]
• Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness
• Diversifying Dialogue Generation with Non-Conversational Text [arXiv]
• Do Neural Language Models Show Preferences for Syntactic Formalisms? [arXiv]
• Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? [arXiv]
• Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension [arXiv]
• Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain
• Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding [arXiv]
• Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training [arXiv]
• Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks [arXiv]
• DoQA - Accessing Domain-Specific FAQs via Conversational QA [arXiv]
• Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation [arXiv]
• DRTS Parsing with Structure-Aware Encoding and Decoding [arXiv]
• DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification [arXiv]
• Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog [arXiv]
• Dynamic Online Conversation Recommendation
• Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation [arXiv]
• ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction
• Effective Estimation of Deep Generative Language Models [arXiv]
• Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction
• Efficient Constituency Parsing by Pointing
• Efficient Dialogue State Tracking by Selectively Overwriting Memory [arXiv]
• Efficient Pairwise Annotation of Argument Quality
• Efficient Second-Order TreeCRF for Neural Dependency Parsing [arXiv]
• Emergence of Syntax Needs Minimal Supervision [arXiv]
• Emerging Cross-lingual Structure in Pretrained Language Models [arXiv]
• Empower Entity Set Expansion via Language Model Probing [arXiv]
• Empowering Active Learning to Jointly Optimize System and User Demands [arXiv]
• End-to-End Bias Mitigation by Modelling Biases in Corpora [arXiv]
• End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
• End-to-End Neural Word Alignment Outperforms GIZA++ [arXiv]
• Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension [arXiv]
• Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
• ERASER: A Benchmark to Evaluate Rationalized NLP Models [arXiv]
• ESPRIT: Explaining Solutions to Physical Reasoning Tasks [arXiv]
• Estimating predictive uncertainty for rumour verification models [arXiv]
• Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks
• Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples
• Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? [arXiv]
• Evaluating Explanation Methods for Neural Machine Translation [arXiv]
• Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
• Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis
• Examining Citations of Natural Language Processing Literature [arXiv]
• Examining the State-of-the-Art in News Timeline Summarization [arXiv]
• Exclusive Hierarchical Decoding for Deep Keyphrase Generation [arXiv]
• Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen [arXiv]
• Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions [arXiv]
• Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading [arXiv]
• Explicit Semantic Decomposition for Definition Generation
• Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach [arXiv]
• Exploiting the Syntax-Model Consistency for Neural Relation Extraction
• Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer [arXiv]
• Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing
• Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches [arXiv]
• Extractive Summarization as Text Matching [arXiv]
• Facet-Aware Evaluation for Extractive Summarization [arXiv]
• Fact-based Text Editing
• Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning [arXiv]
• Fast and Accurate Non-Projective Dependency Tree Linearization
• FastBERT: a Self-distilling BERT with Adaptive Inference Time [arXiv]
• Feature Projection for Improved Text Classification
• FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization [arXiv]
• Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
• Finding Universal Grammatical Relations in Multilingual BERT [arXiv]
• Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences [arXiv]
• Fine-grained Fact Verification with Kernel Graph Attention Network [arXiv]
• Fine-grained Interest Matching for Neural News Recommendation
• Fluent Response Generation for Conversational Question Answering [arXiv]
• From Arguments to Key Points: Towards Automatic Argument Summarization [arXiv]
• From English to Code-Switching: Transfer Learning with Strong Morphological Clues [arXiv]
• From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? [arXiv]
• From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains
• Frugal Paradigm Completion
• Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection [arXiv]
• GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media [arXiv]
• Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer [arXiv]
• Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations [arXiv]
• Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
• Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing [arXiv]
• Generalizing Natural Language Analysis through Span-relation Representations [arXiv]
• Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation [arXiv]
• Generating Counter Narratives against Online Hate Speech: Data and Strategies [arXiv]
• Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs [arXiv]
• Generating Fact Checking Explanations [arXiv]
• Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection [arXiv]
• Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy
• Generative Semantic Hashing Enhanced via Boltzmann Machines
• GLUECoS: An Evaluation Benchmark for Code-Switched NLP [arXiv]
• GoEmotions: A Dataset of Fine-Grained Emotions [arXiv]
• Good-Enough Compositional Data Augmentation [arXiv]
• Graph Neural News Recommendation with Unsupervised Preference Disentanglement
• Graph-to-Tree Learning for Solving Math Word Problems
• Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs [arXiv]
• Grounding Conversations with Improvised Dialogues [arXiv]
• Guiding Variational Response Generator to Exploit Persona [arXiv]
• Handling Rare Entities for Neural Sequence Labeling
• Hard-Coded Gaussian Attention for Neural Machine Translation [arXiv]
• Harnessing the linguistic signal to predict scalar inferences [arXiv]
• Harvesting and Refining Question-Answer Pairs for Unsupervised QA [arXiv]
• HAT: Hardware-Aware Transformers for Efficient Natural Language Processing [arXiv]
• He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist
• Heterogeneous Graph Neural Networks for Extractive Document Summarization [arXiv]
• Heterogeneous Graph Transformer for Graph-to-Sequence Learning [arXiv]
• Hierarchical Entity Typing via Multi-level Learning to Rank [arXiv]
• Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention
• Hierarchy-Aware Global Model for Hierarchical Text Classification
• Highway Transformer: Self-Gating Enhanced Self-Attentive Networks [arXiv]
• Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
• History for Visual Dialog: Do we really need it? [arXiv]
• Hooks in the Headline: Learning to Generate Headlines with Controlled Styles [arXiv]
• How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems
• How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope
• How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence [arXiv]
• How Does Selective Mechanism Improve Self-Attention Networks? [arXiv]
• How to Ask Good Questions? Try to Leverage Paraphrases
• Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
• Hyperbolic Capsule Networks for Multi-Label Classification
• HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
• Image-Chat: Engaging Grounded Conversations [arXiv]
• IMoJIE: Iterative Memory-Based Joint Open Information Extraction [arXiv]
• Improved Natural Language Generation via Loss Truncation [arXiv]
• Improving Adversarial Text Generation by Modeling the Distant Future [arXiv]
• Improving Chinese Word Segmentation with Wordhood Memory Networks
• Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
• Improving Disfluency Detection by Self-Training a Self-Attentive Model [arXiv]
• Improving Event Detection via Open-domain Trigger Knowledge
• Improving Image Captioning Evaluation by Considering Inter References Variance
• Improving Image Captioning with Better Use of Caption
• Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation [arXiv]
• Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
• Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer
• Improving Neural Machine Translation with Soft Template Prediction
• Improving Segmentation for Technical Support Problems [arXiv]
• Improving Transformer Models by Reordering their Sublayers [arXiv]
• Improving Truthfulness of Headline Generation [arXiv]
• In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts [arXiv]
• In Neural Machine Translation, What Does Transfer Learning Transfer?
• Inflecting when there’s no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals [arXiv]
• Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models [arXiv]
• Information-Theoretic Probing for Linguistic Structure [arXiv]
• INFOTABS: Inference on Tables as Semi-structured Data [arXiv]
• Injecting Numerical Reasoning Skills into Language Models [arXiv]
• INSET: Sentence Infilling with INter-SEntential Transformer
• Integrating Multimodal Information in Large Pretrained Transformers
• Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection [arXiv]
• Interactive Classification by Asking Informative Questions [arXiv]
• Interactive Construction of User-Centric Dictionary for Text Analytics
• Interactive Machine Comprehension with Information Seeking Agents [arXiv]
• Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? [arXiv]
• Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings
• Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions
• Investigating Word-Class Distributions in Word Vector Spaces
• iSarcasm: A Dataset of Intended Sarcasm [arXiv]
• It Takes Two to Lie: One to Lie, and One to Listen
• It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations [arXiv]
• Iterative Edit-Based Unsupervised Sentence Simplification
• Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge
• Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging [arXiv]
• Joint Modelling of Emotion and Abusive Language Detection [arXiv]
• Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization
• Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation
• KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation [arXiv]
• KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis [arXiv]
• KLEJ: Comprehensive Benchmark for Polish Language Understanding [arXiv]
• Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation [arXiv]
• Knowledge Graph Embedding Compression
• Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward [arXiv]
• Language (Re)modelling: Towards Embodied Language Understanding [arXiv]
• Language (technology) is power: The need to be explicit about NLP harms
• Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese [arXiv]
• Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions
• Large Scale Multi-Actor Generative Dialog Modeling [arXiv]
• Learning a Multi-Domain Curriculum for Neural Machine Translation [arXiv]
• Learning and Evaluating Emotion Lexicons for 91 Languages [arXiv]
• Learning Architectures from an Extended Search Space for Language Modeling [arXiv]
• Learning Constraints for Structured Prediction Using Rectifier Networks
• Learning Dialog Policies from Weak Demonstrations [arXiv]
• Learning Efficient Dialogue Policy from Demonstrations through Shaping
• Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts
• Learning Source Phrase Representations for Neural Machine Translation [arXiv]
• Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction
• Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling [arXiv]
• Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks [arXiv]
• Learning to Deceive with Attention-Based Explanations [arXiv]
• Learning to execute instructions in a Minecraft dialogue
• Learning to Faithfully Rationalize by Construction [arXiv]
• Learning to Identify Follow-Up Questions in Conversational Question Answering
• Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
• Learning to Segment Actions from Observation and Narration [arXiv]
• Learning to Update Natural Language Comments Based on Code Changes [arXiv]
• Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
• Leveraging Graph to Improve Abstractive Multi-Document Summarization [arXiv]
• Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
• Location Attention for Extrapolation to Longer Sequences [arXiv]
• Logical Natural Language Generation from Open-Domain Tables [arXiv]
• LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network [arXiv]
• Low-Dimensional Hyperbolic Knowledge Graph Embeddings [arXiv]
• Low-Resource Generation of Multi-hop Reasoning Questions
• Machine Reading of Historical Events
• Mapping Natural Language Instructions to Mobile UI Action Sequences [arXiv]
• MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning [arXiv]
• Masked Language Model Scoring [arXiv]
• MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization [arXiv]
• Max-Margin Incremental CCG Parsing
• Measuring Forecasting Skill from Text
• Meta-Reinforced Multi-Domain State Generator for Dialogue Systems
• MIE: A Medical Information Extractor towards Medical Dialogues
• Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance [arXiv]
• MIND: A Large-scale Dataset for News Recommendation
• MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification [arXiv]
• MLQA: Evaluating Cross-lingual Extractive Question Answering [arXiv]
• MMPE: A Multi-Modal Interface for Post-Editing Machine Translation
• MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices [arXiv]
• Modeling Code-Switch Languages Using Bilingual Parallel Corpus
• Modeling Morphological Typology for Unsupervised Learning of Language Morphology
• Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis
• More Diverse Dialogue Datasets via Diversity-Informed Data Collection
• Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders [arXiv]
• Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning [arXiv]
• Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition [arXiv]
• Multi-Cell Compositional LSTM for NER Domain Adaptation
• Multidirectional Associative Optimization of Function-Specific Word Representations
• Multi-Domain Dialogue Acts and Response Co-Generation [arXiv]
• Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference
• Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing [arXiv]
• Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization
• Multi-Hypothesis Machine Translation Evaluation
• Multi-Label and Multilingual News Framing Analysis
• Multimodal Neural Graph Memory Networks for Visual Question Answering
• MultiQT: Multimodal learning for real-time question tracking in speech [arXiv]
• Multiscale Collaborative Deep Models for Neural Machine Translation [arXiv]
• Multi-Sentence Argument Linking [arXiv]
• Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering
• MuTual: A Dataset for Multi-Turn Dialogue Reasoning [arXiv]
• Named Entity Recognition without Labelled Data: A Weak Supervision Approach [arXiv]
• NAT: Noise-Aware Training for Robust Neural Sequence Labeling [arXiv]
• Negative Training for Neural Dialogue Response Generation [arXiv]
• Neighborhood Matching Network for Entity Alignment [arXiv]
• NeuInfer: Knowledge Inference on N-ary Facts
• Neural CRF Model for Sentence Alignment in Text Simplification [arXiv]
• Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence [arXiv]
• Neural Generation of Dialogue Response Timings [arXiv]
• Neural Mixed Counting Models for Dispersed Topic Discovery
• Neural Reranking for Dependency Parsing: An Evaluation
• Neural Syntactic Preordering for Controlled Paraphrase Generation [arXiv]
• Neural Topic Modeling with Bidirectional Adversarial Training [arXiv]
• NILE : Natural Language Inference with Faithful Natural Language Explanations [arXiv]
• Norm-Based Curriculum Learning for Neural Machine Translation
• Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses [arXiv]
• Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection [arXiv]
• Obtaining Faithful Interpretations from Compositional Neural Networks [arXiv]
• On Faithfulness and Factuality in Abstractive Summarization [arXiv]
• On the Cross-lingual Transferability of Monolingual Representations [arXiv]
• On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond [arXiv]
• On The Evaluation of Machine Translation SystemsTrained With Back-Translation [arXiv]
• On the Inference Calibration of Neural Machine Translation [arXiv]
• On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation [arXiv]
• On the Robustness of Language Encoders against Grammatical Errors [arXiv]
• One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases [arXiv]
• Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports [arXiv]
• Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding [arXiv]
• Out of the Echo Chamber: Detecting Countering Debate Speeches [arXiv]
• ParaCrawl: Web-Scale Acquisition of Parallel Corpora
• Parallel Corpus Filtering via Pre-trained Language Models [arXiv]
• Paraphrase Augmented Task-Oriented Dialog Generation [arXiv]
• Paraphrase Generation by Learning How to Edit from Samples
• Parsing into Variable-in-situ Logico-Semantic Graphs
• Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT [arXiv]
• PeTra: A Sparsely Supervised Memory Model for People Tracking [arXiv]
• Phone Features Improve Speech Translation [arXiv]
• Phonetic and Visual Priors for Decipherment of Informal Romanization [arXiv]
• PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable [arXiv]
• Politeness Transfer: A Tag and Generate Approach
• Posterior Control of Blackbox Generation [arXiv]
• Predicting Declension Class from Form and Meaning [arXiv]
• Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts
• Predicting Performance for Natural Language Processing Tasks [arXiv]
• Predicting the Focus of Negation: Model and Error Analysis
• Predicting the Growth of Morphological Families from Social and Linguistic Factors
• Predicting the Topical Stance and Political Leaning of Media using Tweets
• Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview [arXiv]
• Premise Selection in Natural Language Mathematical Texts
• Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders [arXiv]
• Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning [arXiv]
• Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models [arXiv]
• Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering [arXiv]
• Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order [arXiv]
• Probing for referential information in language models
• Probing Linguistic Features of Sentence-Level Representations in Relation Extraction [arXiv]
• Probing Linguistic Systematicity [arXiv]
• Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding
• PuzzLing Machines: A Challenge on Learning From Small Data [arXiv]
• Pyramid: A Layered Model for Nested Named Entity Recognition
• QuASE: Question-Answer Driven Sentence Encoding [arXiv]
• R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge [arXiv]
• Rationalizing Medical Relation Prediction from Corpus-level Statistics [arXiv]
• Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport [arXiv]
• RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers [arXiv]
• Reasoning Over Semantic-Level Graph for Fact Checking [arXiv]
• Reasoning with Latent Structure Refinement for Document-Level Relation Extraction [arXiv]
• Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association
• (Re)construing Meaning in NLP [arXiv]
• Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension [arXiv]
• Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment
• Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem [arXiv]
• Refer360° : A Referring Expression Recognition Dataset in 360° Images
• ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding
• Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents [arXiv]
• Relational Graph Attention Network for Aspect-based Sentiment Analysis [arXiv]
• Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
• Representation Learning for Information Extraction from Form-like Documents
• Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation [arXiv]
• Rethinking Dialogue State Tracking with Reasoning [arXiv]
• Review-based Question Generation with Adaptive Instance Transfer and Augmentation [arXiv]
• Revisiting the Context Window for Cross-lingual Word Embeddings [arXiv]
• Rigid Formats Controlled Text Generation [arXiv]
• RikiNet: Reading Wikipedia Pages for Natural Question Answering [arXiv]
• Robust Encodings: A Framework for Combating Adversarial Typos [arXiv]
• Roles and Utilization of Attention Heads in Transformer-based Neural Language Models
• S2ORC: The Semantic Scholar Open Research Corpus [arXiv]
• SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing
• SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations [arXiv]
• schuBERT: Optimizing Elements of BERT [arXiv]
• SciREX: A Challenge Dataset for Document-Level Information Extraction [arXiv]
• Screenplay Summarization Using Latent Narrative Structure [arXiv]
• ScriptWriter: Narrative-Guided Script Generation [arXiv]
• SEEK: Segmented Embedding of Knowledge Graphs [arXiv]
• Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation [arXiv]
• Selective Question Answering under Domain Shift
• Semantic Graphs for Generating Deep Questions [arXiv]
• Semantic Parsing for English as a Second Language
• Semantic Scaffolds for Pseudocode-to-Code Generation [arXiv]
• Semi-supervised Contextual Historical Text Normalization
• Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation [arXiv]
• Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders
• SenseBERT: Driving Some Sense into BERT [arXiv]
• SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics [arXiv]
• Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis
• SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling
• Should All Cross-Lingual Embeddings Speak English?
• Similarity Analysis of Contextual Word Representation Models [arXiv]
• Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
• Simplify the Usage of Lexicon in Chinese NER [arXiv]
• SimulSpeech: End-to-End Simultaneous Speech to Text Translation
• Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language [arXiv]
• SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis [arXiv]
• Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network
• SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization [arXiv]
• Social Bias Frames: Reasoning about Social and Power Implications of Language [arXiv]
• Sources of Transfer in Multilingual Named Entity Recognition [arXiv]
• Span Selection Pre-training for Question Answering [arXiv]
• Span-based Localizing Network for Natural Language Video Localization [arXiv]
• SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction
• Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback [arXiv]
• Speaker Sensitive Response Evaluation Model
• Speakers enhance contextually confusable words
• SPECTER: Document-level Representation Learning using Citation-informed Transformers [arXiv]
• Speech Translation and the End-to-End Promise: Taking Stock of Where We Are [arXiv]
• SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check [arXiv]
• Spelling Error Correction with Soft-Masked BERT [arXiv]
• Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words [arXiv]
• STARC: Structured Annotations for Reading Comprehension [arXiv]
• Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization
• Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset
• Structural Information Preserving for Graph-to-Text Generation
• Structured Tuning for Semantic Role Labeling [arXiv]
• Structure-Level Knowledge Distillation For Multilingual Sequence Labeling [arXiv]
• Suspense in Short Stories is Predicted By Uncertainty Reduction over Neural Story Representation [arXiv]
• Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
• Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation [arXiv]
• Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks
• TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data [arXiv]
• TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task [arXiv]
• TAG : Type Auxiliary Guiding for Code Comment Generation [arXiv]
• Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
• TaPas: Weakly Supervised Table Parsing via Pre-training [arXiv]
• Target Inference in Argument Conclusion Generation
• Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer
• Tchebycheff Procedure for Multi-task Text Classification
• Temporal Common Sense Acquisition with Minimal Supervision [arXiv]
• Temporally-Informed Analysis of Named Entity Recognition
• Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates [arXiv]
• Text-Based Ideal Points [arXiv]
• That is a Known Lie: Detecting Previously Fact-Checked Claims [arXiv]
• “The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition [arXiv]
• The Cascade Transformer: an Application for Efficient Answer Sentence Selection [arXiv]
• The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents [arXiv]
• The Paradigm Discovery Problem [arXiv]
• The Right Tool for the Job: Matching Model and Instance Complexities [arXiv]
• The Sensitivity of Language Models and Humans to Winograd Schema Perturbations [arXiv]
• The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
• The State and Fate of Linguistic Diversity and Inclusion in the NLP World [arXiv]
• The Summary Loop: Learning to Write Abstractive Summaries Without Examples
• The TechQA Dataset [arXiv]
• The Unstoppable Rise of Computational Linguistics in Deep Learning [arXiv]
• To Boldly Query What No One Has Annotated Before? The Frontiers of Corpus Querying
• To Test Machine Comprehension, Start by Defining Comprehension [arXiv]
• Toward Gender-Inclusive Coreference Resolution [arXiv]
• Towards Conversational Recommendation over Multi-Type Dialogs [arXiv]
• Towards Debiasing Sentence Representations
• Towards Emotion-aided Multi-modal Dialogue Act Classification
• Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints [arXiv]
• Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
• Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs
• Towards Robustifying NLI Models Against Lexical Dataset Biases [arXiv]
• Towards Transparent and Explainable Attention Models [arXiv]
• Towards Understanding Gender Bias in Relation Extraction [arXiv]
• Towards Unsupervised Language Understanding and Generation by Joint Dual Learning [arXiv]
• Toxicity Detection: Does Context Really Matter?
• Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction
• Transition-based Semantic Dependency Parsing with Pointer Networks [arXiv]
• Translationese as a Language in “Multilingual” NMT [arXiv]
• TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition
• TVQA+: Spatio-Temporal Grounding for Video Question Answering [arXiv]
• TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories [arXiv]
• Uncertainty-Aware Curriculum Learning for Neural Machine Translation [arXiv]
• Understanding Attention for Text Classification
• Understanding the Language of Political Agreement and Disagreement in Legislative Texts
• Universal Decompositional Semantic Parsing
• Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
• Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering [arXiv]
• Unsupervised Cross-lingual Representation Learning at Scale [arXiv]
• Unsupervised Domain Clusters in Pretrained Language Models [arXiv]
• Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing [arXiv]
• Unsupervised Morphological Paradigm Completion [arXiv]
• Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting [arXiv]
• Unsupervised Opinion Summarization as Copycat-Review Generation [arXiv]
• Unsupervised Opinion Summarization with Noising and Denoising [arXiv]
• Unsupervised Paraphrasing by Simulated Annealing [arXiv]
• USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation [arXiv]
• Weight Poisoning Attacks on Pretrained Models [arXiv]
• What are the Goals of Distributional Semantics? [arXiv]
• What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks
• What Question Answering can Learn from Trivia Nerds [arXiv]
• What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context [arXiv]
• When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? [arXiv]
• “Who said it, and Why?” Provenance for Natural Language Claims
• WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge [arXiv]
• Word-level Textual Adversarial Attacking as Combinatorial Optimization [arXiv]
• XtremeDistil: Multi-stage Distillation for Massive Multilingual Models [arXiv]
• You Impress Me: Dialogue Generation via Mutual Persona Perception [arXiv]
• Zero-shot Text Classification via Reinforced Self-training
• Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking
• ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages [arXiv]

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Short Papers

• A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle
• A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
• A Frame-based Sentence Representation for Machine Reading Comprehension [oar.a-star]
• A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal [arXiv]
• A Multi-Perspective Architecture for Semantic Code Search
• A negative case analysis of visual grounding methods for VQA [arXiv]
• A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing [arXiv]
• A Re-evaluation of Knowledge Graph Completion Methods [arXiv]
• A Relational Memory-based Embedding Model for Triple Classification and Search Personalization [arXiv]
• A Relaxed Matching Procedure for Unsupervised BLI
• A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation
• A Simple and Effective Unified Encoder for Document-Level Machine Translation
• A Tale of a Probe and a Parser [arXiv]
• A Three-Parameter Rank-Frequency Relation in Natural Languages
• A Transformer-based Approach for Source Code Summarization [arXiv]
• A Two-Stage Masked LM Method for Term Set Expansion [arXiv]
• A Two-Step Approach for Implicit Event Argument Detection
• Active Learning for Coreference Resolution using Discrete Annotation [arXiv]
• An Empirical Comparison of Unsupervised Constituency Parsing Methods
• Analyzing the Persuasive Effect of Style in News Editorial Argumentation
• Are we Estimating or Guesstimating Translation Quality?
• Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization [arXiv]
• Autoencoding Keyword Correlation Graph for Document Clustering
• Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring
• Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model
• Bayesian Hierarchical Words Representation Learning [arXiv]
• Benefits of Intermediate Annotations in Reading Comprehension
• Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning
• Character-Level Translation with Self-attention [arXiv]
• ClarQ: A large-scale and diverse dataset for Clarification Question Generation
• Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction
• Clinical Concept Linking with Contextualized Neural Representations
• Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain [arXiv]
• Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling [arXiv]
• Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection [arXiv]
• Composing Elementary Discourse Units in Abstractive Summarization
• Content Word Aware Neural Machine Translation
• Contextual Embeddings: When Are They Worth It?
• Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns [arXiv]
• Contextualized Sparse Representations for Real-Time Open-Domain Question Answering [arXiv]
• Contextualizing Hate Speech Classifiers with Post-hoc Explanation [arXiv]
• Contrastive Self-Supervised Learning for Commonsense Reasoning [arXiv]
• Controlled Crowdsourcing for High-Quality QA-SRL Annotation [arXiv]
• Conversational Word Embedding for Retrieval-Based Dialog System [arXiv]
• Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis
• Crossing Variational Autoencoders for Answer Retrieval [arXiv]
• DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference [arXiv]
• Designing Precise and Robust Dialogue Response Evaluators [arXiv]
• Dialogue State Tracking with Explicit Slot Connection Modeling
• Do Transformers Need Deep Long-Range Memory?
• Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
• Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation [arXiv]
• Don’t Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction
• Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing
• Dynamic Memory Induction Networks for Few-Shot Text Classification [arXiv]
• Dynamic Sampling Strategies for Multi-Task Reading Comprehension
• Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change [arXiv]
• Efficient strategies for hierarchical text classification: external knowledge and auxiliary tasks [arXiv]
• Embarrassingly Simple Unsupervised Aspect Extraction [arXiv]
• Enabling Language Models to Fill in the Blanks [arXiv]
• Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction [arXiv]
• ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation [arXiv]
• Enhancing Machine Translation with Dependency-Aware Self-Attention [arXiv]
• Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention [arXiv]
• Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing [arXiv]
• Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification
• Estimating Mutual Information Between Dense Word Embeddings
• Evaluating Dialogue Generation Systems via Response Selection [arXiv]
• Evaluating Robustness to Input Perturbations for Neural Machine Translation [arXiv]
• Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks [arXiv]
• ExpBERT: Representation Engineering with Natural Language Explanations [arXiv]
• Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness
• Exploring Content Selection in Summarization of Novel Chapters [arXiv]
• Fact-based Content Weighting for Evaluating Abstractive Summarisation
• Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts
• Few-Shot NLG with Pre-Trained Language Model [arXiv]
• FLAT: Chinese NER Using Flat-Lattice Transformer [arXiv]
• GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples
• Geometry-aware domain adaptation for unsupervised alignment of word embeddings [arXiv]
• Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? [arXiv]
• Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs
• GPT-too: A language-model-first approach for AMR-to-text generation [arXiv]
• How Can We Accelerate Progress Towards Human-like Linguistic Generalization? [arXiv]
• Hypernymy Detection for Low-Resource Languages via Meta Learning
• Identifying Principals and Accessories in a Complex Case based on the Comprehension of Fact Description
• Implicit Discourse Relation Classification: We Need to Talk about Evaluation
• Improved Speech Representations with Multi-Target Autoregressive Predictive Coding [arXiv]
• Improving Entity Linking through Semantic Reinforced Entity Embeddings
• Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling
• Improving Non-autoregressive Neural Machine Translation with Monolingual Data [arXiv]
• Incorporating External Knowledge through Pre-training for Natural Language to Code Generation [arXiv]
• Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition [arXiv]
• Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder
• Interpreting Twitter User Geolocation
• Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds [arXiv]
• It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information [arXiv]
• Keyphrase Generation for Scientific Document Retrieval
• Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms
• Language-aware Interlingua for Multilingual Neural Machine Translation
• Learning an Unreferenced Metric for Online Dialogue Evaluation [arXiv]
• Learning Implicit Text Generation via Feature Matching [arXiv]
• Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment
• Learning Robust Models for e-Commerce Product Search [arXiv]
• Learning Spoken Language Representations with Neural Lattice Language Modeling
• Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
• Learning to Understand Child-directed and Adult-directed Speech [arXiv]
• Let Me Choose: From Verbal Context to Font Selection [arXiv]
• Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation [arXiv]
• Lexically Constrained Neural Machine Translation with Levenshtein Transformer [arXiv]
• Lipschitz Constrained Parameter Initialization for Deep Transformers [arXiv]
• Logic-Guided Data Augmentation and Regularization for Consistent Question Answering [arXiv]
• Low Resource Sequence Tagging using Sentence Reconstruction
• Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations [arXiv]
• Masking Actor Information Leads to Fairer Political Claims Detection
• Meta-Transfer Learning for Code-Switched Speech Recognition [arXiv]
• Mitigating Gender Bias Amplification in Distribution by Posterior Regularization [arXiv]
• Modeling Label Semantics for Predicting Emotional Reactions
• Modeling Long Context for Task-Oriented Dialogue State Generation [arXiv]
• Modeling Word Formation in English–German Neural Machine Translation
• MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
• Multimodal and Multiresolution Speech Recognition with Transformers
• Multimodal Quality Estimation for Machine Translation
• Multimodal Transformer for Multimodal Machine Translation
• Named Entity Recognition as Dependency Parsing [arXiv]
• Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly [arXiv]
• Neural Graph Matching Networks for Chinese Short Text Matching
• Neural Temporal Opinion Modelling for Opinion Prediction on Twitter [arXiv]
• Neural-DINF: A Neural Network based Framework for Measuring Document Influence
• Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces
• “None of the Above”: Measure Uncertainty in Dialog Response Retrieval [arXiv]
• On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation [arXiv]
• On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology
• On Importance Sampling-Based Evaluation of Latent Language Models
• On the Importance of Diversity in Question Generation for QA
• On the Spontaneous Emergence of Discrete and Compositional Signals [arXiv]
• OpinionDigest: A Simple Framework for Opinion Summarization [arXiv]
• Opportunistic Decoding with Timely Correction for Simultaneous Translation [arXiv]
• Overestimation of Syntactic Representation in Neural Language Models [arXiv]
• Parallel Data Augmentation for Formality Style Transfer [arXiv]
• Parallel Sentence Mining by Constrained Decoding
• Posterior Calibrated Training on Sentence Classification Tasks [arXiv]
• Predicting Degrees of Technicality in Automatic Terminology Extraction
• Pretrained Transformers Improve Out-of-Distribution Robustness [arXiv]
• Quantifying Attention Flow in Transformers [arXiv]
• Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases
• R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason [arXiv]
• Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models
• Recursive Template-based Frame Generation for Task Oriented Dialog
• Regularized Context Gates on Transformer for Machine Translation [arXiv]
• Relation Extraction with Explanation
• Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs [arXiv]
• Returning the N to NLP: Towards Contextually Personalized Classification Models
• Reverse Engineering Configurations of Neural Text Generation Models [arXiv]
• Revisiting Higher-Order Dependency Parsers
• Revisiting Unsupervised Relation Extraction [arXiv]
• SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions
• Self-Attention Guided Copy Mechanism for Abstractive Summarization
• Self-Attention with Cross-Lingual Position Representation [arXiv]
• Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity [arXiv]
• Shape of synth to come: Why we should use synthetic data for English surface realization [arXiv]
• Shaping Visual Representations with Language for Few-Shot Classification [arXiv]
• Showing Your Work Doesn’t Always Work [arXiv]
• Simple and Effective Retrieve-Edit-Rerank Text Generation
• Simultaneous Translation Policies: From Fixed to Adaptive [arXiv]
• Single Model Ensemble using Pseudo-Tags and Distinct Vectors [arXiv]
• Smart To-Do: Automatic Generation of To-Do Items from Emails
• Social Biases in NLP Models as Barriers for Persons with Disabilities [arXiv]
• Soft Gazetteers for Low-Resource Named Entity Recognition [arXiv]
• Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations [arXiv]
• Stolen Probability: A Structural Weakness of Neural Language Models [arXiv]
• Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture [arXiv]
• SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization [arXiv]
• Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi [arXiv]
• Syntactic Data Augmentation Increases Robustness to Inference Heuristics [arXiv]
• Tagged Back-translation Revisited: Why Does It Really Work?
• tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
• Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering [arXiv]
• Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference [arXiv]
• Text Classification with Negative Supervision
• To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
• Topological Sort for Sentence Ordering [arXiv]
• Toward Better Storylines with Sentence-Level Language Models [arXiv]
• Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization
• Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations
• Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? [arXiv]
• Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation [arXiv]
• Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering [arXiv]
• Treebank Embedding Vectors for Out-of-domain Dependency Parsing [arXiv]
• Tree-Structured Neural Topic Model
• TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition [arXiv]
• Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data [arXiv]
• Uncertain Natural Language Inference [arXiv]
• Understanding Advertisements with BERT
• Unsupervised FAQ Retrieval with Question Generation and BERT
• Using Context in Neural Machine Translation Training Objectives [arXiv]
• Variational Neural Machine Translation with Normalizing Flows [arXiv]
• Verbal Multiword Expressions for Identification of Metaphor
• Video-Grounded Dialogues with Pretrained Generation Language Models
• What Does BERT with Vision Look At?
• What is Learned in Visually Grounded Neural Syntax Acquisition [arXiv]
• Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries [arXiv]
• Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter [arXiv]
• Words aren’t enough, their order matters: On the Robustness of Grounding Visual Referring Expressions [arXiv]
• Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation [arXiv]
• Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
• You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction
• ``You Sound Just Like Your Father’’ Commercial Machine Translation Systems Include Stylistic Biases
• ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT

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System Demonstrations

• ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents [arXiv]
• BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab
• Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes
• CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task
• Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems [arXiv]
• ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems [arXiv]
• DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation [arXiv]
• Embedding-based Scientific Literature Discovery in a Text Editor Application [arXiv]
• ESPnet-ST: All-in-One Speech Translation Toolkit [arXiv]
• EVIDENCEMINER: Textual Evidence Discovery for Life Sciences
• exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models [arXiv]
• GAIA: A Fine-grained Multimedia Knowledge Extraction System
• Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations [arXiv]
• jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
• Label Noise in Context
• LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation [arXiv]
• LinggleWrite: a Coaching System for Essay Writing
• MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform [arXiv]
• MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation
• Multilingual Universal Sentence Encoder for Semantic Retrieval [arXiv]
• Nakdan: Professional Hebrew Diacritizer [arXiv]
• NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature
• NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg
• OpusFilter: A Configurable Parallel Corpus Filtering Toolbox
• Penman: An Open-Source Library and Tool for AMR Graphs
• Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation
• Photon: A Robust Cross-Domain Text-to-SQL System
• Prta: A System to Support the Analysis of Propaganda Techniques in the News [arXiv]
• pyBART: Evidence-based Syntactic Transformations for IE [arXiv]
• Stanza: A Python Natural Language Processing Toolkit for Many Human Languages [arXiv]
• Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines [arXiv]
• SUPP.AI: finding evidence for supplement-drug interactions
• Syntactic Search by Example
• SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
• Tabouid: a Wikipedia-based word guessing game
• Talk to Papers: Bringing Neural Question Answering to Academic Search [arXiv]
• TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing [arXiv]
• The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding [arXiv]
• Torch-Struct: Deep Structured Prediction Library [arXiv]
• Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time [arXiv]
• Usnea: An Authorship Tool for Interactive Fiction using Retrieval Based Semantic Parsing
• What’s The Latest? A Question-driven News Chatbot
• Xiaomingbot: A Multilingual Robot News Reporter

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Student Research Workshop

• #NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media
• A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
• A Simple and Effective Dependency parser for Telugu
• Adaptive Transformers for Learning Multimodal Representations [arXiv]
• AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss
• Building a Japanese Typo Dataset from Wikipedia’s Revision History
• Checkpoint Reranking: An Approach To Select Better Hypothesis For Neural Machine Translation Systems
• Combining Subword Representations into Word-level Representations in the Transformer Architecture
• Compositional generalization by factorizing alignment and translation
• Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling [arXiv]
• Crossing the Line: Where do Demographic Variables Fit into Humor Detection?
• Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup
• Dominance as an Indicator of Rapport and Learning in Human-Agent Communication
• Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions
• Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages
• Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition
• Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources [arXiv]
• Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder
• Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions
• Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information
• Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency
• HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing
• How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
• υBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems
• Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition
• Let’s be Humorous: Knowledge Enhanced Humor Generation [arXiv]
• Logical Inferences with Comparatives and Generalized Quantifiers [arXiv]
• Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling
• Multi-Task Neural Model for Agglutinative Language Translation
• Noise-Based Augmentation Techniques for Emotion Datasets: What do we Recommend?
• Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment
• Pointwise Paraphrase Appraisal is Potentially Problematic [arXiv]
• Pre-training via Leveraging Assisting Languages for Neural Machine Translation [arXiv]
• Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation
• Reflection-based Word Attribute Transfer
• Research on Task Discovery for Transfer Learning in Deep Neural Networks
• Research Replication Prediction Using Weakly Supervised Learning
• RPD: A Distance Function Between Word Embeddings [arXiv]
• SCAR: Sentence Compression using Autoencoders for Reconstruction
• Self-Attention is Not Only a Weight: Analyzing BERT with Vector Norms [arXiv]
• Story-level Text Style Transfer: A Proposal
• To compress or not to compress? A Finite-State approach to Nen verbal morphology
• Topic balancing with additive regularization of topic models
• Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya
• Understanding Points of Correspondence between Sentences for Abstractive Summarization
• Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
• Unsupervised Paraphasia Classification in Aphasic Speech
• Why is penguin more similar to polar bear than to sea gull? Analyzing conceptual knowledge in distributional models
• Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition

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License

To the extent possible under law, Joohong Lee has waived all copyright and related or neighboring rights to this work.