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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 226–250 of 555 papers

TitleStatusHype
An MRC Framework for Semantic Role Labeling—0
Data Augmentation for Biomedical Factoid Question Answering—0
Cooperative Self-training of Machine Reading Comprehension—0
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management—0
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension—0
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension—0
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency GraphCode0
MRCLens: an MRC Dataset Bias Detection Toolkit—0
A Graph Fusion Approach to Cross-Lingual Machine Reading Comprehension—0
EveMRC: A Two-stage Evidence Modeling For Multi-choice Machine Reading Comprehension—0
ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese—0
Understanding Attention in Machine Reading Comprehension—0
What Makes Machine Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types—0
Models can use keywords to answer questions that human cannot—0
Unsupervised Open-Domain Question Answering with Higher Answerability—0
Context-Paraphrase Enhanced Commonsense Question Answering—0
On the Robustness of Reading Comprehension Models to Entity Renaming—0
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension—0
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading ComprehensionCode0
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations—0
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations—0
Have You Seen That Number? Investigating Extrapolation in Question Answering Models—0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension—0
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