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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 501–525 of 555 papers

TitleStatusHype
A Span-Extraction Dataset for Chinese Machine Reading ComprehensionCode0
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension—0
U-Net: Machine Reading Comprehension with Unanswerable QuestionsCode0
未登錄詞之向量表示法模型於中文機器閱讀理解之應用 (An OOV Word Embedding Framework for Chinese Machine Reading Comprehension) [In Chinese]—0
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller—0
Listening Comprehension over Argumentative Content—0
Answer-focused and Position-aware Neural Question Generation—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Stochastic Answer Networks for SQuAD 2.0Code0
Multi-task Learning with Sample Re-weighting for Machine Reading ComprehensionCode0
Knowledge Based Machine Reading Comprehension—0
Explicit Utilization of General Knowledge in Machine Reading Comprehension—0
Explicit Contextual Semantics for Text Comprehension—0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension—0
What Makes Reading Comprehension Questions Easier?Code0
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
Attention-Guided Answer Distillation for Machine Reading Comprehension—0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions—0
Hierarchical Attention: What Really Counts in Various NLP TasksCode0
Effective Character-augmented Word Embedding for Machine Reading Comprehension—0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension—0
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension—0
Systematic Error Analysis of the Stanford Question Answering Dataset—0
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