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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 101125 of 555 papers

TitleStatusHype
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on NovelsCode0
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
BIOMRC: A Dataset for Biomedical Machine Reading ComprehensionCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language ModelsCode0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response DetectionCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut TriggersCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading ComprehensionCode0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
An Understanding-Oriented Robust Machine Reading Comprehension ModelCode0
A Framework for Evaluation of Machine Reading Comprehension Gold StandardsCode0
Explaining Interactions Between Text SpansCode0
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity LinkingCode0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
EQuANt (Enhanced Question Answer Network)Code0
English Machine Reading Comprehension Datasets: A SurveyCode0
CliCR: A Dataset of Clinical Case Reports for Machine Reading ComprehensionCode0
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading ComprehensionCode0
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