machine reading comprehension

Bi-directional CognitiveThinking Network for Machine Reading Comprehension COLING 2020 BioMRC: A Dataset for Biomedical Machine Reading Comprehension ACL 2020 Bridging Information-Seeking Human Gaze and Machine Reading Comprehension CoNLL 2020 CLUE: A Chinese Language Understanding Evaluation Benchmark COLING 2020 Correcting the Misuse: A Method for the Chinese Idiom Cloze Test EMNLP 2020 COVID-QA: A Question Answering Dataset for COVID-19 ACL 2020 DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension AAAI 2020 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract) AAAI 2020 Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ACL 2020 Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension ACL 2020 Event Extraction as Machine Reading Comprehension EMNLP 2020 Evidence Inference 2.0: More Data, Better Models ACL 2020 EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering EMNLP 2020 Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ACL 2020 ForceReader: a BERT-based Interactive Machine Reading Comprehension Model with Attention Separation COLING 2020 FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection SemEval 2020 From Dataset Recycling to Multi-Property Extraction and Beyond CoNLL 2020 From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap ACL 2020 Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks AAAI 2020 How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset EMNLP 2020 Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension COLING 2020 Interactive Machine Comprehension with Information Seeking Agents ACL 2020 Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension CoNLL 2020 ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention EMNLP 2020