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

Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models ACL-2020 NLPMC-2020 WS-2020

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering ACL-2020

The Unstoppable Rise of Computational Linguistics in Deep Learning ACL-2020

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis ACL-2020 Challenge-HML-2020 WS-2020

Fact-based Text Editing ACL-2020

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents ACL-2020

Dialogue-Based Relation Extraction ACL-2020

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

From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? ACL-2020

Named Entity Recognition as Dependency Parsing ACL-2020

DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection ACL-2020 Fig-Lang-2020 WS-2020

Temporally-Informed Analysis of Named Entity Recognition ACL-2020

Bipartite Flat-Graph Network for Nested Named Entity Recognition ACL-2020

A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction ACL-2020 FEVER-2020 WS-2020

Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization ACL-2020

R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason ACL-2020

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

Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web ACL-2020

Semi-supervised Parsing with a Variational Autoencoding Parser ACL-2020 IWPT-2020 WS-2020

Logical Natural Language Generation from Open-Domain Tables ACL-2020

Low-Dimensional Hyperbolic Knowledge Graph Embeddings ACL-2020

A Joint Neural Model for Information Extraction with Global Features ACL-2020

Leveraging Graph to Improve Abstractive Multi-Document Summarization ACL-2020

Syntactic Search by Example ACL-2020

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining ACL-2020 BioNLP-2020 WS-2020

SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction ACL-2020

Generalizing Natural Language Analysis through Span-relation Representations ACL-2020

Oxymorons: a preliminary corpus investigation ACL-2020 Fig-Lang-2020 WS-2020

Studying Challenges in Medical Conversation with Structured Annotation ACL-2020 NLPMC-2020 WS-2020

Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder ACL-2020

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings ACL-2020 BioNLP-2020 WS-2020

Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT ACL-2020

A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages ACL-2020

Identifying Principals and Accessories in a Complex Case based on the Comprehension of Fact Description ACL-2020

How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence ACL-2020

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ACL-2020

Temporal Common Sense Acquisition with Minimal Supervision ACL-2020

DeSpin: a prototype system for detecting spin in biomedical publications ACL-2020 BioNLP-2020 WS-2020

SciREX: A Challenge Dataset for Document-Level Information Extraction ACL-2020

On Faithfulness and Factuality in Abstractive Summarization ACL-2020

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain ACL-2020

Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding ACL-2020

Multi-Cell Compositional LSTM for NER Domain Adaptation ACL-2020

From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains ACL-2020

Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction ACL-2020

MIE: A Medical Information Extractor towards Medical Dialogues ACL-2020

Interactive Extractive Search over Biomedical Corpora ACL-2020 BioNLP-2020 WS-2020

IMoJIE: Iterative Memory-Based Joint Open Information Extraction ACL-2020

Improving Truthfulness of Headline Generation ACL-2020

BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab ACL-2020

Interactive Machine Comprehension with Information Seeking Agents ACL-2020

Neural CRF Model for Sentence Alignment in Text Simplification ACL-2020

Findings of the Fourth Workshop on Neural Generation and Translation ACL-2020 NGT-2020 WS-2020

Distilling Knowledge Learned in BERT for Text Generation ACL-2020

Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL-2020

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL-2020

Representation Learning for Information Extraction from Form-like Documents ACL-2020

Torch-Struct: Deep Structured Prediction Library ACL-2020

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL-2020

The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain ACL-2020

Global Locality in Biomedical Relation and Event Extraction ACL-2020 BioNLP-2020 WS-2020

Assisting Undergraduate Students in Writing Spanish Methodology Sections ACL-2020 BEA-2020 WS-2020

A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction ACL-2020 BioNLP-2020 WS-2020

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience ACL-2020 BioNLP-2020 WS-2020

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction ACL-2020

Empower Entity Set Expansion via Language Model Probing ACL-2020

(Re)construing Meaning in NLP ACL-2020

In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts ACL-2020

EVIDENCEMINER: Textual Evidence Discovery for Life Sciences ACL-2020

Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time ACL-2020

Named Entity Recognition without Labelled Data: A Weak Supervision Approach ACL-2020

Multi-Sentence Argument Linking ACL-2020

NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg ACL-2020

Calibrating Structured Output Predictors for Natural Language Processing ACL-2020

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

Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer ACL-2020

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL-2020

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task ACL-2020

Revisiting Unsupervised Relation Extraction ACL-2020

Controlled Crowdsourcing for High-Quality QA-SRL Annotation ACL-2020

ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages ACL-2020

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ACL-2020

A Two-Step Approach for Implicit Event Argument Detection ACL-2020

Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification ACL-2020

Semi-Supervised Iterative Approach for Domain-Specific Complaint Detection in Social Media ACL-2020 ECNLP-2020 WS-2020

Advances in Using Grammars with Latent Annotations for Discontinuous Parsing ACL-2020 IWPT-2020 WS-2020

Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification EMNLP-2019 WS-2019

Parsing Chinese Sentences with Grammatical Relations CL-2019

Scalable Knowledge Graph Construction from Text Collections EMNLP-2019 WS-2019

Extracting relevant information from physician-patient dialogues for automated clinical note taking EMNLP-2019 WS-2019

A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions CoNLL-2019

Biomedical Relation Classification by single and multiple source domain adaptation EMNLP-2019 WS-2019

Experiments with ad hoc ambiguous abbreviation expansion EMNLP-2019 WS-2019

Reinforcement-based denoising of distantly supervised NER with partial annotation EMNLP-2019 WS-2019

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension EMNLP-2019 WS-2019

Deep Bidirectional Transformers for Relation Extraction without Supervision EMNLP-2019 WS-2019

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions EMNLP-2019 WS-2019

Roll Call Vote Prediction with Knowledge Augmented Models CoNLL-2019

On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning EMNLP-2019 WS-2019

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