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Machine Reading Comprehension

966 directly classified papers

Papers per year

Papers

Translucent Answer Predictions in Multi-Hop Reading Comprehension AAAI 2020
A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020
Unsupervised Domain Adaptation on Reading Comprehension AAAI 2020
FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection SEMEVAL 2020
A Frame-based Sentence Representation for Machine Reading Comprehension ACL 2020
Span Selection Pre-training for Question Answering ACL 2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset ACL 2020
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ACL 2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL 2020
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap ACL 2020
Adversarial Training for Commonsense Inference ACL 2020
Correcting the Misuse: A Method for the Chinese Idiom Cloze Test EMNLP 2020
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning EMNLP 2020
Multi-hop Inference for Question-driven Summarization EMNLP 2020
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations ACL 2020
CorefQA: Coreference Resolution as Query-based Span Prediction ACL 2020
To Test Machine Comprehension, Start by Defining Comprehension ACL 2020
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention EMNLP 2020
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions EMNLP 2020
Context-Aware Answer Extraction in Question Answering EMNLP 2020
Undersensitivity in Neural Reading Comprehension EMNLP 2020
UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering EMNLP 2020
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE COLING 2020
An Audio-Enriched BERT-Based Framework for Spoken Multiple-Choice Question Answering INTERSPEECH 2020