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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 101–150 of 555 papers

TitleStatusHype
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
BIOMRC: A Dataset for Biomedical Machine Reading ComprehensionCode0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language ModelsCode0
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and ResourcesCode0
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
Towards Efficient Methods in Medical Question Answering using Knowledge Graph EmbeddingsCode0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
Interpreting Themes from Educational StoriesCode0
OPERA: Operation-Pivoted Discrete Reasoning over TextCode0
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity LinkingCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
Hierarchical Attention: What Really Counts in Various NLP TasksCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
An Understanding-Oriented Robust Machine Reading Comprehension ModelCode0
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading ComprehensionCode0
MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension BenchmarkCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Multi-task Learning with Sample Re-weighting for Machine Reading ComprehensionCode0
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionCode0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response DetectionCode0
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut TriggersCode0
Instructive Dialogue Summarization with Query AggregationsCode0
Automatic Task Requirements Writing Evaluation via Machine Reading ComprehensionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
A Causal View of Entity Bias in (Large) Language ModelsCode0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading ComprehensionCode0
Adaptive loose optimization for robust question answeringCode0
Explaining Interactions Between Text SpansCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
From Dataset Recycling to Multi-Property Extraction and BeyondCode0
EQuANt (Enhanced Question Answer Network)Code0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
English Machine Reading Comprehension Datasets: A SurveyCode0
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading ComprehensionCode0
ET5: A Novel End-to-end Framework for Conversational Machine Reading ComprehensionCode0
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language ModelsCode0
Effective Subword Segmentation for Text ComprehensionCode0
Ellipsis Resolution as Question Answering: An EvaluationCode0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
Abstract, Rationale, Stance: A Joint Model for Scientific Claim VerificationCode0
DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World ApplicationsCode0
Coreference Reasoning in Machine Reading ComprehensionCode0
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world ApplicationsCode0
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