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Machine Reading Comprehension

967 papers

Papers per year

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Papers

Span Selection Pre-training for Question Answering ACL 2020
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction ACL 2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset ACL 2020
Benefits of Intermediate Annotations in Reading Comprehension ACL 2020
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations ACL 2020
STARC: Structured Annotations for Reading Comprehension ACL 2020
A Unified MRC Framework for Named Entity Recognition ACL 2020
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ACL 2020
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason ACL 2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension ACL 2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL 2020
CorefQA: Coreference Resolution as Query-based Span Prediction ACL 2020
Machine Reading of Historical Events ACL 2020
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL 2020
To Test Machine Comprehension, Start by Defining Comprehension ACL 2020
COVID-QA: A Question Answering Dataset for COVID-19 ACL 2020
Context-based Automated Scoring of Complex Mathematical Responses ACL 2020
Evidence Inference 2.0: More Data, Better Models ACL 2020
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT ACL 2020
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap ACL 2020
Adversarial Training for Commonsense Inference ACL 2020
SQL Generation via Machine Reading Comprehension COLING 2020
A Vietnamese Dataset for Evaluating Machine Reading Comprehension COLING 2020
Bi-directional CognitiveThinking Network for Machine Reading Comprehension COLING 2020
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs COLING 2020