Machine Reading Comprehension

Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, and then answer questions based on it.

Source: Making Neural Machine Reading Comprehension Faster

Papers

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Showing 476–500 of 555 papers

Title	Date	Tasks	Status	Hype
EQuANt (Enhanced Question Answer Network)	Jun 24, 2019	Machine Reading ComprehensionMulti-Task Learning	CodeCode Available	0
Pre-Training with Whole Word Masking for Chinese BERT	Jun 19, 2019	Document ClassificationGeneral Classification	CodeCode Available	3
Structured Pruning of Recurrent Neural Networks through Neuron Selection	Jun 17, 2019	Language ModelingLanguage Modelling	—Unverified	0
Learning to Ask Unanswerable Questions for Machine Reading Comprehension	Jun 14, 2019	Data AugmentationMachine Reading Comprehension	—Unverified	0
Neural Arabic Question Answering	Jun 12, 2019	ArticlesInformation Retrieval	CodeCode Available	0
A Survey on Neural Machine Reading Comprehension	Jun 10, 2019	Machine Reading ComprehensionReading Comprehension	—Unverified	0
Yimmon at SemEval-2019 Task 9: Suggestion Mining with Hybrid Augmented Approaches	Jun 1, 2019	Machine Reading ComprehensionReading Comprehension	—Unverified	0
Controlling Risk of Web Question Answering	May 24, 2019	Machine Reading ComprehensionQuestion Answering	—Unverified	0
Entity-Relation Extraction as Multi-Turn Question Answering	May 14, 2019	Machine Reading ComprehensionQuestion Answering	CodeCode Available	0
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension	Apr 21, 2019	Data AugmentationLanguage Modelling	CodeCode Available	0
Making Neural Machine Reading Comprehension Faster	Mar 29, 2019	Knowledge DistillationMachine Reading Comprehension	—Unverified	0
Sogou Machine Reading Comprehension Toolkit	Mar 28, 2019	Machine Reading ComprehensionReading Comprehension	CodeCode Available	0
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs	Mar 25, 2019	Knowledge GraphsMachine Reading Comprehension	CodeCode Available	0
Evidence Sentence Extraction for Machine Reading Comprehension	Feb 23, 2019	Machine Reading ComprehensionMultiple-choice	CodeCode Available	0
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots	Feb 12, 2019	Information RetrievalLanguage Modeling	—Unverified	0
Review Conversational Reading Comprehension	Feb 3, 2019	Language ModelingLanguage Modelling	CodeCode Available	0
Dual Co-Matching Network for Multi-choice Reading Comprehension	Jan 27, 2019	Machine Reading ComprehensionMultiple-choice	—Unverified	0
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering	Dec 10, 2018	Conversational Question AnsweringCoreference Resolution	CodeCode Available	0
未登錄詞之向量表示法模型於中文機器閱讀理解之應用 (An OOV Word Embedding Framework for Chinese Machine Reading Comprehension)	Dec 1, 2018	Machine Reading ComprehensionReading Comprehension	—Unverified	0
Visual Question Answering as Reading Comprehension	Nov 29, 2018	Common Sense ReasoningGeneral Knowledge	—Unverified	0
A Deep Cascade Model for Multi-Document Reading Comprehension	Nov 28, 2018	Machine Reading ComprehensionQuestion Answering	—Unverified	0
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions	Nov 21, 2018	Machine Reading ComprehensionMultiple-choice	—Unverified	0
Effective Subword Segmentation for Text Comprehension	Nov 6, 2018	Machine Reading ComprehensionReading Comprehension	CodeCode Available	0
Improving Machine Reading Comprehension with General Reading Strategies	Oct 31, 2018	ARCLanguage Modeling	CodeCode Available	0
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension	Oct 30, 2018	Common Sense ReasoningMachine Reading Comprehension	—Unverified	0

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