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Machine Reading Comprehension

966 directly classified papers

Papers per year

Papers

Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction SEMEVAL 2021
English Machine Reading Comprehension Datasets: A Survey EMNLP 2021
Skim-Attention: Learning to Focus via Document Layout EMNLP 2021
RoR: Read-over-Read for Long Document Machine Reading Comprehension EMNLP 2021
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations EMNLP 2021
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension ACL 2021
Have You Seen That Number? Investigating Extrapolation in Question Answering Models EMNLP 2021
PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning IJCNLP 2021
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data ACL 2021
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading AAAI 2021
VisualMRC: Machine Reading Comprehension on Document Images AAAI 2021
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing AAAI 2021
Extract, Integrate, Compete: Towards Verification Style Reading Comprehension EMNLP 2021
“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding EMNLP 2021
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning IJCNLP 2021
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting IJCNLP 2021
Retrospective Reader for Machine Reading Comprehension AAAI 2021
Few-Shot Question Answering by Pretraining Span Selection ACL 2021
Coreference Reasoning in Machine Reading Comprehension ACL 2021
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis AAAI 2021
Numerical reasoning in machine reading comprehension tasks: are we there yet? EMNLP 2021
Locke’s Holiday: Belief Bias in Machine Reading EMNLP 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals EMNLP 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning IJCNLP 2021
Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction IJCNLP 2021