← Applications
Natural Language Processing › Applications ›

Machine Reading Comprehension

966 directly classified papers

Papers per year

Papers

Entity Tracking Improves Cloze-style Reading Comprehension EMNLP 2018
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks EMNLP 2018
A Nil-Aware Answer Extraction Framework for Question Answering EMNLP 2018
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans. EMNLP 2018
Textbook Question Answering Under Instructor Guidance With Memory Networks CVPR 2018
Large-scale Cloze Test Dataset Created by Teachers EMNLP 2018
Reinforced Mnemonic Reader for Machine Reading Comprehension IJCAI 2018
Robust Machine Comprehension Models via Adversarial Training NAACL 2018
Automatic Estimation of Simultaneous Interpreter Performance ACL 2018
Contextualized Word Representations for Reading Comprehension NAACL 2018
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension COLING 2018
Neural Semantic Parsing ACL 2018
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification ACL 2018
Densely Connected Attention Propagation for Reading Comprehension NIPS 2018
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge SEMEVAL 2018
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source SEMEVAL 2018
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment SEMEVAL 2018
Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models SEMEVAL 2018
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing EMNLP 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering EMNLP 2018
Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension INTERSPEECH 2018
TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors SEMEVAL 2018
Attention-Guided Answer Distillation for Machine Reading Comprehension EMNLP 2018
SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge SEMEVAL 2018
Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension SEMEVAL 2018