arXiv:1907.01686
Machine Reading Comprehension: a Literature Review
원문 초록
Machine reading comprehension aims to teach machines to understand a text like a human and is a new challenging direction in Artificial Intelligence. This article summarizes recent advances in MRC, mainly focusing on two aspects (i.e., corpus and techniques). The specific characteristics of various MRC corpus are listed and compared. The main ideas of some typical MRC techniques are also described.
함께 살펴볼 논문
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RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading Comprehension
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
From Multiple-Choice to Extractive QA: A Case Study for English and Arabic
토론
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