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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 301–325 of 555 papers

TitleStatusHype
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-trainingCode0
Improving Cross-Lingual Reading Comprehension with Self-Training—0
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer—0
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension—0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised SummarizationCode0
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension—0
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language ModelsCode0
Towards Robust Neural Retrieval Models with Synthetic Pre-Training—0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
What does BERT Learn from Arabic Machine Reading Comprehension Datasets?—0
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents—0
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension—0
Robustly Optimized and Distilled Training for Natural Language Understanding—0
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension—0
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data—0
Modeling Context in Answer Sentence Selection Systems on a Latency Budget—0
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning—0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
English Machine Reading Comprehension Datasets: A SurveyCode0
Towards Confident Machine Reading Comprehension—0
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking—0
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering—0
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