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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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TitleStatusHype
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots—0
Review Conversational Reading ComprehensionCode0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
SDNet: Contextualized Attention-based Deep Network for Conversational Question AnsweringCode0
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)—0
Visual Question Answering as Reading Comprehension—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions—0
Effective Subword Segmentation for Text ComprehensionCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
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