Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks

Multi-hop reading comprehension focuses on one type of factoid question, where a system needs to properly integrate multiple pieces of evidence to correctly answer a question. Previous work approximates global evidence with local coreference information, encoding coreference chains with DAG-styled G...

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Veröffentlicht in:IEEE transactions on knowledge and data engineering 2022-02, Vol.34 (2), p.631-639
Hauptverfasser: Song, Linfeng, Wang, Zhiguo, Yu, Mo, Zhang, Yue, Florian, Radu, Gildea, Daniel
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Sprache:eng
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