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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 125 of 555 papers

TitleStatusHype
Pre-Training with Whole Word Masking for Chinese BERTCode3
MiniRBT: A Two-stage Distilled Small Chinese Pre-trained ModelCode2
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsCode2
CLUE: A Chinese Language Understanding Evaluation BenchmarkCode2
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
Coreference Resolution as Query-based Span PredictionCode1
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
Biomedical named entity recognition using BERT in the machine reading comprehension frameworkCode1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
CodeQA: A Question Answering Dataset for Source Code ComprehensionCode1
Context-faithful Prompting for Large Language ModelsCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
An MRC Framework for Semantic Role LabelingCode1
A Robustly Optimized BMRC for Aspect Sentiment Triplet ExtractionCode1
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading ComprehensionCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
A Sentence Cloze Dataset for Chinese Machine Reading ComprehensionCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
A Unified MRC Framework for Named Entity RecognitionCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity RecognitionCode1
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetCode1
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair ExtractionCode1
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