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KNOWLEDGE ROUTER: Learning Disentangled Representations for Knowledge Graphs

Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors

Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks

Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction

A Frustratingly Easy Approach for Entity and Relation Extraction

Event Time Extraction and Propagation via Graph Attention Networks

Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers

Mediators in Determining what Processing BERT Performs First

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA

Multilingual Language Models Predict Human Reading Behavior

Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing

A Non-Linear Structural Probe

Concealed Data Poisoning Attacks on NLP Models

Backtranslation Feedback Improves User Confidence in MT, Not Quality

Data Filtering using Cross-Lingual Word Embeddings

Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

Neural Machine Translation without Embeddings

Counterfactual Data Augmentation for Neural Machine Translation

Cultural and Geographical Influences on Image Translatability of Words across Languages

Multilingual BERT Post-Pretraining Alignment

A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases

Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products

EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drugdevelopment pathways

DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

SMBOP: Semi-autoregressive Bottom-up Semantic Parsing

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources

Fool Me Twice: Entailment from Wikipedia Gamification

Meta-Learning for Domain Generalization in Semantic Parsing

Aspect-Controlled Neural Argument Generation

Text Generation from Discourse Representation Structures

APo-VAE: Text Generation in Hyperbolic Space

DART: Open-Domain Structured Data Record to Text Generation

When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models

Multi-Adversarial Learning for Cross-Lingual Word Embeddings

Multi-view Subword Regularization

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning

Open Domain Question Answering over Tables via Dense Retrieval

Open-Domain Question Answering Goes Conversational via Question Rewriting

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

XOR QA: Cross-lingual Open-Retrieval Question Answering

SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval

Implicitly Abusive Language – What does it actually look like and why are we not getting there?

The Importance of Modeling Social Factors of Language: Theory and Practice

On learning and representing social meaning in NLP: a sociolinguistic perspective

Preregistering NLP research

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

Representing Numbers in NLP: a Survey and a Vision

Extending Multi-Document Summarization Evaluation to the Interactive Setting

Identifying Helpful Sentences in Product Reviews

Noisy Self-Knowledge Distillation for Text Summarization

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation

Enhancing Factual Consistency of Abstractive Summarization

Few-shot Intent Classification and Slot Filling with Retrieved Examples

“Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue Responses

Human-like informative conversations: Better acknowledgements using conditional mutual information

A Comparative Study on Schema-Guided Dialogue State Tracking

Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds

Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas

Self-Training with Weak Supervision

Neural Language Modeling for Contextualized Temporal Graph Generation

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning

Document-Level Event Argument Extraction by Conditional Generation

Template Filling with Generative Transformers

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models

On Attention Redundancy: A Comprehensive Study

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Low-Complexity Probing via Finding Subnetworks

An Empirical Comparison of Instance Attribution Methods for NLP

Generalization in Instruction Following Systems

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Measuring Social Biases in Grounded Vision and Language Embeddings

MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

Grounding Open-Domain Instructions to Automate Web Support Tasks

Modular Networks for Compositional Instruction Following

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Posterior Differential Regularization with f-divergence for Improving Model Robustness

Understanding Hard Negatives in Noise Contrastive Estimation

Certified Robustness to Word Substitution Attack with Differential Privacy

DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference

Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages

Macro-Average: Rare Types Are Important Too

Assessing Reference-Free Peer Evaluation for Machine Translation

The Curious Case of Hallucinations in Neural Machine Translation

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution

Towards Modeling the Style of Translators in Neural Machine Translation

Self-Supervised Test-Time Learning for Reading Comprehension

Capturing Row and Column Semantics in Transformer Based Question Answering over Tables

Explainable Multi-hop Verbal Reasoning Through Internal Monologue

Robust Question Answering Through Sub-part Alignment

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering

Understanding by Understanding Not: Modeling Negation in Language Models

DuoRAT: Towards Simpler Text-to-SQL Models

Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization

Structure-Grounded Pretraining for Text-to-SQL

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System

Temporal Reasoning on Implicit Events from Distant Supervision

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models

Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs

A New Approach to Overgenerating and Scoring Abstractive Summaries

D2S: Document-to-Slide Generation Via Query-Based Text Summarization

Efficient Attentions for Long Document Summarization

RefSum: Refactoring Neural Summarization

Annotating and Modeling Fine-grained Factuality in Summarization

Larger-Context Tagging: When and Why Does It Work?

Neural Sequence Segmentation as Determining the Leftmost Segments

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols

GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input

Video-aided Unsupervised Grammar Induction

Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model

How Robust are Fact Checking Systems on Colloquial Claims?

Fine-grained Post-training for Improving Retrieval-based Dialogue Systems

Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention

Adding Chit-Chat to Enhance Task-Oriented Dialogues

Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network

Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition

Improving Neural RST Parsing Model with Silver Agreement Subtrees

RST Parsing from Scratch

Did they answer? Subjective acts and intents in conversational discourse

Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance

Bridging Resolution: Making Sense of the State of the Art

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle

Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation

Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study

Mask Attention Networks: Rethinking and Strengthen Transformer

ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding

Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models

Modeling Event Plausibility with Consistent Conceptual Abstraction

UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus

Field Embedding:A Unified Grain-Based Framework for Word Representation

MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories

Non-Parametric Few-Shot Learning for Word Sense Disambiguation

Why Do Document-Level Polarity Classifiers Fail?

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents

Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words Extraction

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

Domain Divergences: A Survey and Empirical Analysis

Target-Aware Data Augmentation for Stance Detection

End-to-end ASR to jointly predict transcriptions and linguistic annotations

Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation

Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks

SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding

Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering

Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis

Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network

Personalized Response Generation via Generative Split Memory Network

Towards Few-Shot Fact-Checking via Perplexity

Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation

Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!

A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models

Masked Conditional Random Fields for Sequence Labeling

Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data

Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models

DA-Transformer: Distance-aware Transformer

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction

Are NLP Models really able to Solve Simple Math Word Problems?

WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

STYLEPTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge

COVID-19 Named Entity Recognition for Vietnamese

Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames

Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism

Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning

WikiTalkEdit: A Dataset for modeling Editors’ behaviors on Wikipedia

The structure of online social networks modulates the rate of lexical change

Modeling Framing in Immigration Discourse on Social Media

Modeling the Severity of Complaints in Social Media

What About the Precedent: An Information-Theoretic Analysis of Common Law

Introducing CAD: the Contextual Abuse Dataset

Lifelong Learning of Hate Speech Classification on Social Media

Learning to Recognize Dialect Features

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Static Embeddings as Efficient Knowledge Bases?

Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis

Rethinking Network Pruning— under the Pre-train and Fine-tune Paradigm

Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers

Detoxifying Language Models Risks Marginalizing Minority Voices

HONEST: Measuring Hurtful Sentence Completion in Language Models

EaSe: A Diagnostic Tool for VQA Based on Answer Diversity

DECEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization

Improving Generation and Evaluation of Visual Stories via Semantic Consistency

Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models

Video Question Answering with Phrases via Semantic Roles

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia

Challenging Distributional Models with a Conceptual Network of Philosophical Terms

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings

UDALM: Unsupervised Domain Adaptation through Language Modeling

Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning

Clustering-based Inference for Biomedical Entity Linking

Variance-reduced First-order Meta-learning for Natural Language Processing Tasks

Diversity-Aware Batch Active Learning for Dependency Parsing

How Many Data Points is a Prompt Worth?

Can Latent Alignments Improve Autoregressive Machine Translation?

Smoothing and Shrinking the Sparse Seq2Seq Search Space

Unified Pre-training for Program Understanding and Generation

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding

On the Embeddings of Variables in Recurrent Neural Networks for Source Code

Cross-Lingual Word Embedding Refinement by `1 Norm Optimisation

Semantic Frame Forecast

MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task

Learning to Decompose and Organize Complex Tasks

Continual Learning for Text Classification with Information Disentanglement Based Regularization

Learning from Executions for Semantic Parsing

Learning to Synthesize Data for Semantic Parsing

EDGE: Enriching Knowledge Graph Embeddings with External Text

FLIN: A Flexible Natural Language Interface for Web Navigation

Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index

Incorporating External Knowledge to Enhance Tabular Reasoning

Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention

Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding

Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification

A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification

Emotion-Infused Models for Explainable Psychological Stress Detection

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

Supertagging-based Parsing with Linear Context-free Rewriting Systems

Outside Computation with Superior Functions

Learning Syntax from Naturally-Occurring Bracketings

Bot-Adversarial Dialogue for Safe Conversational Agents

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

Example-Driven Intent Prediction with Observers

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems

Controlling Dialogue Generation with Semantic Exemplars

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List

X-Class: Text Classification with Extremely Weak Supervision

Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling

Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification

Faithfully Explainable Recommendation via Neural Logic Reasoning

You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency

Semi-Supervised Policy Initialization for Playing Games with Language Hints

Revisiting Document Representations for Large-Scale Zero-Shot Learning

Negative language transfer in learner English: A new dataset

SentSim: Crosslingual Semantic Evaluation of Machine Translation

Quality Estimation for Image Captions Based on Large-scale Human Evaluations

CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems

News Headline Grouping as a Challenging NLU Task

Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer

Grouping Words with Semantic Diversity

Noise Stability Regularization for Improving BERT Fine-tuning

FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization

Knowledge Guided Metric Learning for Few-Shot Text Classification

Ensemble of MRR and NDCG models for Visual Dialog

Supervised Neural Clustering via Latent Structured Output Learning: Application to Question Intents

ConVEx: Data-Efficient and Few-Shot Slot Labeling

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems

Clipping Loops for Sample-Efficient Dialogue Policy Optimisation

Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction

Noisy-Labeled NER with Confidence Estimation

TABBIE: Pretrained Representations of Tabular Data

Better Feature Integration for Named Entity Recognition

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus

FUDGE: Controlled Text Generation With Future Discriminators

Controllable Text Simplification with Explicit Paraphrasing

Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training

Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models

INFOXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

Context-Interactive Pre-Training for Document Machine Translation

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering

Explicit Alignment Objectives for Multilingual Bidirectional Encoders

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval

Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks

MULTIPROVER: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning

Adaptable and Interpretable Neural Memory Over Symbolic Knowledge

CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images

Refining Targeted Syntactic Evaluation of Language Models

Universal Adversarial Attacks with Natural Triggers for Text Classification

QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval

Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack

An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls

Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning

Case Study: Deontological Ethics in NLP

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models

On the Impact of Random Seeds on the Fairness of Clinical Classifiers

Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures

Discourse Probing of Pretrained Language Models

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets

Learning to Learn to be Right for the Right Reasons

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

Almost Free Semantic Draft for Neural Machine Translation

Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation

Multi-Hop Transformer for Document-Level Machine Translation

Continual Learning for Neural Machine Translation

Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios

Smart-Start Decoding for Neural Machine Translation

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation

ER-AE: Differentially Private Text Generation for Authorship Anonymization

Distantly Supervised Transformers For E-Commerce Product QA

Quantitative Day Trading from Natural Language using Reinforcement Learning

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation

Modeling Diagnostic Label Correlation for Automatic ICD Coding

Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents

A recipe for annotating grounded clarifications

Grey-box Adversarial Attack And Defence For Sentiment Classification

How low is too low? A monolingual take on lemmatisation in Indian languages

Causal Effects of Linguistic Properties

Dynabench: Rethinking Benchmarking in NLP

Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research

Predicting Discourse Trees from Transformer-based Neural Summarizers

Probing for Bridging Inference in Transformer Language Models

Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models

Stay Together: A System for Single and Split-antecedent Anaphora Resolution

Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness

CoRT: Complementary Rankings from Transformers

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces

Inductive Topic Variational Graph Auto-Encoder for Text Classification

Self-Alignment Pretraining for Biomedical Entity Representations

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding

On Learning Text Style Transfer with Direct Rewards

Focused Attention Improves Document-Grounded Generation

NEUROLOGIC DECODING: (Un)supervised Neural Text Generation with Predicate Logic Constraints

Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge

Progressive Generation of Long Text with Pretrained Language Models

SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain

Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation

MULTIOPED: A Corpus of Multi-Perspective News Editorials

SWORDS : A Benchmark for Lexical Substitution with Improved Data Coverage and Quality

“I’m Not Mad”: Commonsense Implications of Negation and Contradiction

Identifying Medical Self-Disclosure in Online Communities

Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction

Finding Concept-specific Biases in Form–Meaning Associations

How (Non-)Optimal is the Lexicon?

Word Complexity is in the Eye of the Beholder

Linguistic Complexity Loss in Text-Based Therapy

Ab Antiquo: Neural Proto-language Reconstruction

On Biasing Transformer Attention Towards Monotonicity

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

Constrained Multi-Task Learning for Event Coreference Resolution

Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

Data and Model Distillation as a Solution for Domain-transferable Fact Verification

Adapting Coreference Resolution for Processing Violent Death Narratives

Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering

SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Differentiable Open-Ended Commonsense Reasoning

Does Structure Matter? Encoding Documents for Machine Reading Comprehension

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval

Scalable and Interpretable Semantic Change Detection

Scalar Adjective Identification and Multilingual Ranking

ESC: Redesigning WSD with Extractive Sense Comprehension

Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective

Constructing Taxonomies from Pretrained Language Models

Event Representation with Sequential, Semi-Supervised Discrete Variables

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model

Knowledge Enhanced Masked Language Model for Stance Detection

Learning Paralinguistic Features from Audiobooks through Style Voice Conversion

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks

Adversarial Learning for Zero-Shot Stance Detection on Social Media

Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

GSum: A General Framework for Guided Neural Abstractive Summarization

What Will it Take to Fix Benchmarking in Natural Language Understanding?

TuringAdvice: A Generative and Dynamic Evaluation of Language Use

Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures

Self Promotion in US Congressional Tweets

Profiling of Intertextuality in Latin Literature Using Word Embeddings

Identifying inherent disagreement in natural language inference

Modeling Human Mental States with an Entity-based Narrative Graph

A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation

Hurdles to Progress in Long-form Question Answering

ENTRUST: Argument Reframing with Language Models and Entailment

Paragraph-level Simplification of Medical Texts

An Empirical Study on Neural Keyphrase Generation

Attention Head Masking for Inference Time Content Selection in Abstractive Summarization

Factual Probing Is [MASK]: Learning vs. Learning to Recal

Evaluating Saliency Methods for Neural Language Models

Contextualized Perturbation for Textual Adversarial Attack

DIRECTPROBE: Studying Representations without Classifiers

Evaluating the Values of Sources in Transfer Learning

Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications

On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies

Limitations of Autoregressive Models and Their Alternatives

On the Transformer Growth for Progressive BERT Training

Revisiting Simple Neural Probabilistic Language Models

READTWICE: Reading Very Large Documents with Memories

SCRIPT: Self-Critic Pretraining of Transformers

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Nutri-bullets Hybrid: Consensual Multi-document Summarization

AVA: an Automatic eValuation Approach for Question Answering Systems

SpanPredict: Extraction of Predictive Document Spans with Neural Attention

Text Editing by Command

A Deep Metric Learning Approach to Account Linking

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Multimodal End-to-End Sparse Model for Emotion Recognition

MIMOQA: Multimodal Input Multimodal Output Question Answering

OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding

Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions

Multitasking Inhibits Semantic Drift

Probing Contextual Language Models for Common Ground with Visual Representations

BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification

Targeted Adversarial Training for Natural Language Understanding

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection

Self-training Improves Pre-training for Natural Language Understanding

Supporting Clustering with Contrastive Learning

TITA: A Two-stage Interaction and Topic-Aware Text Matching Model

Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction

Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects

Discrete Argument Representation Learning for Interactive Argument Pair Identification

On Unifying Misinformation Detection

Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

Do RNN States Encode Abstract Phonological Alternations?

Pre-training with Meta Learning for Chinese Word Segmentation

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation

User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization

GPT Perdetry Test: Generating new meanings for new words

Universal Semantic Tagging for English and Mandarin Chinese

ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser

Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis

AMR Parsing with Action-Pointer Transformer

NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction

Unsupervised Concept Representation Learning for Length-Varying Text Similarity

Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition

Adversarial Self-Supervised Learning for Out-of-Domain Detection

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking

Hierarchical Transformer for Task Oriented Dialog Systems

Measuring the ‘I don’t know’ Problem through the Lens of Gricean Quantity

RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion

Open Hierarchical Relation Extraction

Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network

Multi-Grained Knowledge Distillation for Named Entity Recognition

SGG: Learning to Select, Guide, and Generate for Keyphrase Generation

Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter

Generative Imagination Elevates Machine Translation

Non-Autoregressive Translation by Learning Target Categorical Codes

Training Data Augmentation for Code-Mixed Translation

Rethinking Perturbations in Encoder-Decoders for Fast Training

Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model

Machine Translated Text Detection Through Text Similarity with Round-Trip Translation

TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference

Breadth First Reasoning Graph for Multi-hop Question Answering

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering

Unsupervised Multi-hop Question Answering by Question Generation

Sliding Selector Network with Dynamic Memory for Extractive Summarization of Long Documents

AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization

MM-AVS: A Full-Scale Dataset for Multi-modal Summarization

MEDIASUM: A Large-scale Media Interview Dataset for Dialogue Summarization

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

Inference Time Style Control for Summarization