Machine Reading Comprehension

EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference CoNLL 2019 Explicit Utilization of General Knowledge in Machine Reading Comprehension ACL 2019 Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019 Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension ACL 2019 Extractive NarrativeQA with Heuristic Pre-Training EMNLP 2019 Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? AAAI 2019 FlowQA: Grasping Flow in History for Conversational Machine Comprehension ICLR 2019 GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level EMNLP 2019 Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension EMNLP 2019 HellaSwag: Can a Machine Really Finish Your Sentence? ACL 2019 Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering CVPR 2019 IIT-KGP at COIN 2019: Using pre-trained Language Models for modeling Machine Comprehension EMNLP 2019 Improving Machine Reading Comprehension with General Reading Strategies NAACL 2019 Improving Question Answering with External Knowledge EMNLP 2019 Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior EMNLP 2019 Incorporating External Knowledge into Machine Reading for Generative Question Answering EMNLP 2019 Incorporating Structured Commonsense Knowledge in Story Completion AAAI 2019 Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text ACL 2019 Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension EMNLP 2019 Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge EMNLP 2019 KARNA at COIN Shared Task 1: Bidirectional Encoder Representations from Transformers with relational knowledge for machine comprehension with common sense EMNLP 2019 Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL 2019 Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering NAACL 2019 Learning with Limited Data for Multilingual Reading Comprehension EMNLP 2019 Machine Reading Comprehension Using Structural Knowledge Graph-aware Network EMNLP 2019