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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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Showing 351–360 of 555 papers

TitleStatusHype
Seeing the World through Text: Evaluating Image Descriptions for Commonsense Reasoning in Machine Reading Comprehension—0
SQL Generation via Machine Reading ComprehensionCode0
Unsupervised Explanation Generation for Machine Reading Comprehension—0
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
Synonym Knowledge Enhanced Reader for Chinese Idiom Reading ComprehensionCode0
Answer Span Correction in Machine Reading Comprehension—0
From Dataset Recycling to Multi-Property Extraction and BeyondCode0
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning—0
Correcting the Misuse: A Method for the Chinese Idiom Cloze Test—0
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text—0
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