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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

Showing 5175 of 555 papers

TitleStatusHype
VisualMRC: Machine Reading Comprehension on Document ImagesCode1
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
TSQA: Tabular Scenario Based Question AnsweringCode1
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningCode1
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question AnsweringCode1
Biomedical named entity recognition using BERT in the machine reading comprehension frameworkCode1
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
ReCO: A Large Scale Chinese Reading Comprehension Dataset on OpinionCode1
Recurrent Chunking Mechanisms for Long-Text Machine Reading ComprehensionCode1
Machine Reading Comprehension: The Role of Contextualized Language Models and BeyondCode1
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading ComprehensionCode1
A Self-Training Method for Machine Reading Comprehension with Soft Evidence ExtractionCode1
Teaching Machine Comprehension with Compositional ExplanationsCode1
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
Logic-Guided Data Augmentation and Regularization for Consistent Question AnsweringCode1
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the GapCode1
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse StructureCode1
A Sentence Cloze Dataset for Chinese Machine Reading ComprehensionCode1
TREC CAsT 2019: The Conversational Assistance Track OverviewCode1
ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningCode1
Retrospective Reader for Machine Reading ComprehensionCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
DUMA: Reading Comprehension with Transposition ThinkingCode1
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