Towards Transparent and Explainable Attention Models ACL-2020

Towards Robustifying NLI Models Against Lexical Dataset Biases ACL-2020

INFOTABS: Inference on Tables as Semi-structured Data ACL-2020

Language Models as Fact Checkers? ACL-2020 FEVER-2020 WS-2020

Examining Citations of Natural Language Processing Literature ACL-2020

From Arguments to Key Points: Towards Automatic Argument Summarization ACL-2020

Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ACL-2020

(Re)construing Meaning in NLP ACL-2020

End-to-End Bias Mitigation by Modelling Biases in Corpora ACL-2020

Pretrained Transformers Improve Out-of-Distribution Robustness ACL-2020

Premise Selection in Natural Language Mathematical Texts ACL-2020

That is a Known Lie: Detecting Previously Fact-Checked Claims ACL-2020

On Faithfulness and Factuality in Abstractive Summarization ACL-2020

Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport ACL-2020

Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL-2020

Stance Prediction and Claim Verification: An Arabic Perspective ACL-2020 FEVER-2020 WS-2020

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices ACL-2020

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL-2020

Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity ACL-2020

Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition ACL-2020

Hyperbolic Capsule Networks for Multi-Label Classification ACL-2020

Improving Truthfulness of Headline Generation ACL-2020

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization ACL-2020

Generating Fact Checking Explanations ACL-2020

Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference ACL-2020 RepL4NLP-2020 WS-2020

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning ACL-2020

Learning Robust Models for e-Commerce Product Search ACL-2020

Bridging Anaphora Resolution as Question Answering ACL-2020

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL-2020

Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL-2020

“Who said it, and Why?” Provenance for Natural Language Claims ACL-2020

Curriculum Learning for Natural Language Understanding ACL-2020

Probing Linguistic Systematicity ACL-2020

Multi-Task Neural Model for Agglutinative Language Translation ACL-2020

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ACL-2020

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL-2020

QuASE: Question-Answer Driven Sentence Encoding ACL-2020

Logic-Guided Data Augmentation and Regularization for Consistent Question Answering ACL-2020

Logical Inferences with Comparatives and Generalized Quantifiers ACL-2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL-2020

Adaptive Compression of Word Embeddings ACL-2020

BLEURT: Learning Robust Metrics for Text Generation ACL-2020

Adversarial NLI: A New Benchmark for Natural Language Understanding ACL-2020

KLEJ: Comprehensive Benchmark for Polish Language Understanding ACL-2020

Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs EMNLP-2019 WS-2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension EMNLP-2019 WS-2019

A Summarization System for Scientific Documents EMNLP-2019

Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling EMNLP-2019

Dialogue Natural Language Inference ACL-2019

Unraveling Antonym’s Word Vectors through a Siamese-like Network ACL-2019

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models EMNLP-2019

Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction ACL-2019

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference ACL-2019

A Gated Self-attention Memory Network for Answer Selection EMNLP-2019

Retrofitting Contextualized Word Embeddings with Paraphrases EMNLP-2019

Relational Word Embeddings ACL-2019

On the Robustness of Self-Attentive Models ACL-2019

Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation EMNLP-2019 WS-2019

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER EMNLP-2019

Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents EMNLP-2019 WS-2019

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning EMNLP-2019 WS-2019

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego EMNLP-2019

Attention-based Conditioning Methods for External Knowledge Integration ACL-2019

Exploring Numeracy in Word Embeddings ACL-2019

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL-2019

Reasoning Over Paragraph Effects in Situations EMNLP-2019 WS-2019

How Large Are Lions? Inducing Distributions over Quantitative Attributes ACL-2019

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks ACL-2019

Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts ACL-2019

Continual and Multi-Task Architecture Search ACL-2019

Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings ACL-2019

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction ACL-2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks ACL-2019

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs EMNLP-2019

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ACL-2019

Deep Learning for Natural Language Inference NAACL-2019

Evidence-based Trustworthiness ACL-2019

Gating Mechanisms for Combining Character and Word-level Word Representations: an Empirical Study NAACL-2019

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding NAACL-2019

Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference ACL-2019

Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System NAACL-2019

Subword-based Compact Reconstruction of Word Embeddings NAACL-2019

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions NAACL-2019

Repurposing Entailment for Multi-Hop Question Answering Tasks NAACL-2019

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL-2019

A Study of Latent Structured Prediction Approaches to Passage Reranking NAACL-2019

SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference ACL-2019

Selective Attention for Context-aware Neural Machine Translation NAACL-2019

AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification NAACL-2019

Parameter-free Sentence Embedding via Orthogonal Basis EMNLP-2019

A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking CoNLL-2019

Evidence Sentence Extraction for Machine Reading Comprehension CoNLL-2019

Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP-2019 WS-2019

A Comparative Analysis of Unsupervised Language Adaptation Methods EMNLP-2019 WS-2019

Pretraining-Based Natural Language Generation for Text Summarization CoNLL-2019

EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference CoNLL-2019

FEVER Breaker’s Run of Team NbAuzDrLqg EMNLP-2019 WS-2019

GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level EMNLP-2019

Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task EMNLP-2019 WS-2019

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling EMNLP-2019

WS

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