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Machine Reading Comprehension

966 directly classified papers

Papers per year

Papers

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning IJCNLP 2019
Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy ACL 2019
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering NAACL 2019
MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension ACL 2019
Using Natural Language Relations between Answer Choices for Machine Comprehension NAACL 2019
Read + Verify: Machine Reading Comprehension with Unanswerable Questions AAAI 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL 2019
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension ACL 2019
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels IJCNLP 2019
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension ACL 2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering IJCNLP 2019
Learning with Limited Data for Multilingual Reading Comprehension IJCNLP 2019
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks EMNLP 2019
Entity-Relation Extraction as Multi-Turn Question Answering ACL 2019
A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension ACL 2019
A Pilot Study for Chinese SQL Semantic Parsing IJCNLP 2019
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension IJCNLP 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models IJCNLP 2019
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text IJCNLP 2019
End-to-End Open-Domain Question Answering with BERTserini NAACL 2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning EMNLP 2019
Multi-hop Reading Comprehension through Question Decomposition and Rescoring ACL 2019
Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ACL 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019