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Attention is not not Explanation

Transfer Learning Between Related Tasks Using Expected Label Proportions

Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings

Correlations between Word Vector Sets

Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation

Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog

MoEL: Mixture of Empathetic Listeners

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects

Leveraging Dependency Forest for Neural Medical Relation Extraction

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data

Jointly Learning Entity and Relation Representations for Entity Alignment

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

Low-Resource Name Tagging Learned with Weakly Labeled Data

Learning Dynamic Context Augmentation for Global Entity Linking

Learning to Bootstrap for Entity Set Expansion

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

Event Detection with Trigger-Aware Lattice Neural Network

A Boundary-aware Neural Model for Nested Named Entity Recognition

CaRe: Open Knowledge Graph Embeddings

Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping

Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction

EntEval: A Holistic Evaluation Benchmark for Entity Representations

Hierarchical Text Classification with Reinforced Label Assignment

Label-Specific Document Representation for Multi-Label Text Classification

Hierarchical Attention Prototypical Networks for Few-Shot Text Classification

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification

Enhancing Local Feature Extraction with Global Representation for Neural Text Classification

Linking artificial and human neural representations of language

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Select and Attend: Towards Controllable Content Selection in Text Generation

Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling

VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling

Parameter-free Sentence Embedding via Orthogonal Basis

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations

Learning to Speak and Act in a Fantasy Text Adventure Game

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning

Incorporating Visual Semantics into Sentence Representations within a Grounded Space

Neural Naturalist: Generating Fine-Grained Image Comparisons

KnowledgeNet: A Benchmark Dataset for Knowledge Base Population

Effective Use of Transformer Networks for Entity Tracking

Explicit Cross-lingual Pre-training for Unsupervised Machine Translation

Improving Back-Translation with Uncertainty-based Confidence Estimation

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Iterative Dual Domain Adaptation for Neural Machine Translation

Context-Aware Monolingual Repair for Neural Machine Translation

Multi-Granularity Self-Attention for Neural Machine Translation

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

Dynamic Past and Future for Neural Machine Translation

Pushing the Limits of Low-Resource Morphological Inflection

Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank

Hierarchical Pointer Net Parsing

Semi-Supervised Semantic Role Labeling with Cross-View Training

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding

Tree Transformer: Integrating Tree Structures into Self-Attention

Semantic Role Labeling with Iterative Structure Refinement

Entity Projection via Machine-Translation for Cross-Lingual NER

A Bayesian Approach for Sequence Tagging with Crowds

Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing

Robust Text Classifier on Test-Time Budgets

RNN Architecture Learning with Sparse Regularization

Analytical Methods for Interpretable Ultradense Word Embeddings

Neural Linguistic Steganography

Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation

Modeling Multi-Action Policy for Task-Oriented Dialogues

Automatically Learning Data Augmentation Policies for Dialogue Tasks

uniblock: Scoring and Filtering Corpus with Unicode Block Information

Vecalign: Improved Sentence Alignment in Linear Time and Space

Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Speculative Beam Search for Simultaneous Translation

Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings

Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning

Grounding learning of modifier dynamics: An application to color naming

Robust Navigation with Language Pretraining and Stochastic Sampling

Towards Making a Dependency Parser See

Dependency Parsing for Spoken Dialog Systems

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog

Controlling Text Complexity in Neural Machine Translation

Cross-Lingual Machine Reading Comprehension

A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning

Asking Clarification Questions in Knowledge-Based Question Answering

Multi-label Categorization of Accounts of Sexism using a Neural Framework

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts

(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas

Are You for Real? Detecting Identity Fraud via Dialogue Interactions

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

Towards Knowledge-Based Recommender Dialog System

Structuring Latent Spaces for Stylized Response Generation

DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation

Low-Resource Response Generation with Template Prior

A Discrete CVAE for Response Generation on Short-Text Conversation

Variational Hierarchical User-based Conversation Model

How to Build User Simulators to Train RL-based Dialog Systems

Dual Attention Networks for Visual Reference Resolution in Visual Dialog

Partners in Crime: Multi-view Sequential Inference for Movie Understanding

A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Universal Adversarial Triggers for Attacking and Analyzing NLP

Adaptively Sparse Transformers

Show Your Work: Improved Reporting of Experimental Results

Cross-lingual Semantic Specialization via Lexical Relation Induction

Modeling Color Terminology Across Thousands of Languages

A Unified Neural Coherence Model

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Finding Generalizable Evidence by Learning to Convince Q&A Models

Ranking and Sampling in Open-Domain Question Answering

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

Language Models as Knowledge Bases?

NumNet: Machine Reading Comprehension with Numerical Reasoning

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale

PubMedQA: A Dataset for Biomedical Research Question Answering

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering

Answering Complex Open-domain Questions Through Iterative Query Generation

Learning to Update Knowledge Graphs by Reading News

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Interactive Language Learning by Question Answering

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Learning with Limited Data for Multilingual Reading Comprehension

A Discrete Hard EM Approach for Weakly Supervised Question Answering

Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts

Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments

Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite

Weakly Supervised Multilingual Causality Extraction from Wikipedia

Extractive Summarization of Long Documents by Combining Global and Local Context

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge

Contrastive Attention Mechanism for Abstractive Sentence Summarization

Concept Pointer Network for Abstractive Summarization

Surface Realisation Using Full Delexicalisation

IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation

Better Rewards Yield Better Summaries: Learning to Summarise Without References

Mixture Content Selection for Diverse Sequence Generation

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)

Referring Expression Generation Using Entity Profiles

Enhancing AMR-to-Text Generation with Dual Graph Representations

Toward a Task of Feedback Comment Generation for Writing Learning

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

Neural Extractive Text Summarization with Syntactic Compression

Domain Adaptive Text Style Transfer

Let’s Ask Again: Refine Network for Automatic Question Generation

Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction

“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding

QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG

Pun-GAN: Generative Adversarial Network for Pun Generation

Autoregressive Text Generation Beyond Feedback Loops

On the Importance of Delexicalization for Fact Verification

Towards Debiasing Fact Verification Models

Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks

Visual Detection with Context for Document Layout Analysis

Modelling Stopping Criteria for Search Results using Poisson Processes

The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

Out-of-Domain Detection for Low-Resource Text Classification Tasks

Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

SciBERT: A Pretrained Language Model for Scientific Text

PaLM: A Hybrid Parser and Language Model

A Pilot Study for Chinese SQL Semantic Parsing

Global Reasoning over Database Structures for Text-to-SQL Parsing

Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Pretrained Language Models for Sequential Sentence Classification

Text Summarization with Pretrained Encoders

Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator

Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs

Core Semantic First: A Top-down Approach for AMR Parsing

Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing

Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification

A Logic-Driven Framework for Consistency of Neural Models

Implicit Deep Latent Variable Models for Text Generation

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Dialog Intent Induction with Deep Multi-View Clustering

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction

Sampling Bias in Deep Active Classification: An Empirical Study

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

Hierarchically-Refined Label Attention Network for Sequence Labeling

Certified Robustness to Adversarial Word Substitutions

Topics to Avoid: Demoting Latent Confounds in Text Classification

Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training

Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Distributionally Robust Language Modeling

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

Parallel Iterative Edit Models for Local Sequence Transduction

ARAML: A Stable Adversarial Training Framework for Text Generation

Compositional Generalization for Primitive Substitutions

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution

Patient Knowledge Distillation for BERT Model Compression

Neural Gaussian Copula for Variational Autoencoder

Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?

Jointly Learning to Align and Translate with Transformer Models

Social IQa: Commonsense Reasoning about Social Interactions

Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning

Neural Conversation Recommendation with Online Interaction Modeling

Detecting Causal Language Use in Science Findings

Multilingual and Multi-Aspect Hate Speech Analysis

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

Detecting and Reducing Bias in a High Stakes Domain

CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network

Event Representation Learning Enhanced with External Commonsense Knowledge

A Neural Citation Count Prediction Model based on Peer Review Text

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Modeling the Relationship between User Comments and Edits in Document Revision

Subword Language Model for Query Auto-Completion

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues

YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers

TuckER: Tensor Factorization for Knowledge Graph Completion

Multiplex Word Embeddings for Selectional Preference Acquisition

Examining Gender Bias in Languages with Grammatical Gender

Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

A Split-and-Recombine Approach for Follow-up Query Analysis

Text2Math: End-to-end Parsing Text into Math Expressions

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

Syntax-aware Multilingual Semantic Role Labeling

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks

Modeling Graph Structure in Transformer for Better AMR-to-Text Generation

Learning Explicit and Implicit Structures for Targeted Sentiment Analysis

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis

Rethinking Attribute Representation and Injection for Sentiment Classification

Fine-Grained Analysis of Propaganda in News Article

Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree

Simple and Effective Noisy Channel Modeling for Neural Machine Translation

Hint-Based Training for Non-Autoregressive Machine Translation

Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing

Multilingual Grammar Induction with Continuous Language Identification

HMEAE: Hierarchical Modular Event Argument Extraction

Entity, Relation, and Event Extraction with Contextualized Span Representations

BERT for Coreference Resolution: Baselines and Analysis

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs

Feature2Vec: Distributional semantic modelling of human property knowledge

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation

Revisiting the Evaluation of Theory of Mind through Question Answering

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions

Generating Personalized Recipes from Historical User Preferences

Improving Neural Story Generation by Targeted Common Sense Grounding

SUM-QE: a BERT-based Summary Quality Estimation Model

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation

What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition

WIQA: A dataset for "What if..." reasoning over procedural text

Evaluating BERT for natural language inference: A case study on the CommitmentBank

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Learning to Copy for Automatic Post-Editing

Exploring Human Gender Stereotypes with Word Association Test

Generating Classical Chinese Poems from Vernacular Chinese

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

An Attentive Fine-Grained Entity Typing Model with Latent Type Representation

Improving Fine-grained Entity Typing with Entity Linking

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities

Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

CaRB: A Crowdsourced Benchmark for Open IE

Weakly Supervised Attention Networks for Entity Recognition

Revealing and Predicting Online Persuasion Strategy with Elementary Units

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis

Interpretable Word Embeddings via Informative Priors

A deep-learning framework to detect sarcasm targets

Incorporating Label Dependencies in Multilabel Stance Detection

Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts

Restoring ancient text using deep learning: a case study on Greek epigraphy

Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Using Clinical Notes with Time Series Data for ICU Management

Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature

RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation