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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 151–200 of 555 papers

TitleStatusHype
mPMR: A Multilingual Pre-trained Machine Reader at ScaleCode0
OPERA: Operation-Pivoted Discrete Reasoning over TextCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Interpreting Themes from Educational StoriesCode0
Cross-Lingual Question Answering over Knowledge Base as Reading ComprehensionCode0
Instructive Dialogue Summarization with Query AggregationsCode0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
Cross-Lingual Machine Reading ComprehensionCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
Hierarchical Attention: What Really Counts in Various NLP TasksCode0
Knowing-how & Knowing-that: A New Task for Machine Comprehension of User ManualsCode0
Data Augmentation for Biomedical Factoid Question AnsweringCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading ComprehensionCode0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Towards Efficient Methods in Medical Question Answering using Knowledge Graph EmbeddingsCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Coreference Reasoning in Machine Reading ComprehensionCode0
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response DetectionCode0
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Abstract, Rationale, Stance: A Joint Model for Scientific Claim VerificationCode0
From Dataset Recycling to Multi-Property Extraction and BeyondCode0
Document Modeling with External Attention for Sentence ExtractionCode0
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut TriggersCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
A Span-Extraction Dataset for Chinese Machine Reading ComprehensionCode0
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
A Multiple Choices Reading Comprehension Corpus for Vietnamese Language EducationCode0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning QuestionCode0
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
Explaining Interactions Between Text SpansCode0
Evidence Sentence Extraction for Machine Reading ComprehensionCode0
DuReader\_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World ApplicationsCode0
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World ApplicationsCode0
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading ComprehensionCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State TrackingCode0
Effective Subword Segmentation for Text ComprehensionCode0
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
EQuANt (Enhanced Question Answer Network)Code0
ET5: A Novel End-to-end Framework for Conversational Machine Reading ComprehensionCode0
EMBRACE: Evaluation and Modifications for Boosting RACECode0
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading ComprehensionCode0
English Machine Reading Comprehension Datasets: A SurveyCode0
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