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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 351–375 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
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!—0
Event Extraction as Machine Reading Comprehension—0
Scene Restoring for Narrative Machine Reading Comprehension—0
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation—0
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications—0
Improved Synthetic Training for Reading Comprehension—0
Bi-directional Cognitive Thinking Network for Machine Reading Comprehension—0
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension—0
Context Modeling with Evidence Filter for Multiple Choice Question Answering—0
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous SpaceCode0
ARES: A Reading Comprehension Ensembling Service—0
A Survey on Explainability in Machine Reading Comprehension—0
A Vietnamese Dataset for Evaluating Machine Reading Comprehension—0
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension—0
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension—0
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