evidence extraction

Grounding Answers for Visual Questions Asked by Visually Impaired People CVPR 2022 IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks ACL 2022 Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization ACL 2022 PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking NAACL 2022 Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning ACL 2022 Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters EMNLP 2022 A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers NAACL 2021 Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable EMNLP 2021 EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle EMNLP 2021 Extract, Integrate, Compete: Towards Verification Style Reading Comprehension EMNLP 2021 Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification EMNLP 2021 Overview and Insights from the SCIVER shared task on Scientific Claim Verification NAACL 2021 Scientific Discourse Tagging for Evidence Extraction EACL 2021 SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS) SemEval 2021 Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit EMNLP 2021 Unified Dual-view Cognitive Model for Interpretable Claim Verification ACL 2021 Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling EMNLP 2020 A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction ACL 2020 Constrained Fact Verification for FEVER EMNLP 2020 Evidence Inference 2.0: More Data, Better Models ACL 2020 Generating Fact Checking Summaries for Web Claims EMNLP 2020 HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020 Weakly- and Semi-supervised Evidence Extraction EMNLP 2020 Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction ACL 2019 A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking CoNLL 2019