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Answering Complex Questions Using Open Information Extraction
2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
While there has been substantial progress in factoid question-answering (QA), answering complex questions remains challenging, typically requiring both a large body of knowledge and inference techniques. Open Information Extraction (Open IE) provides a way to generate semi-structured knowledge for QA, but to date such knowledge has only been used to answer simple questions with retrievalbased methods. We overcome this limitation by presenting a method for reasoning with Open IE knowledge,
doi:10.18653/v1/p17-2049
dblp:conf/acl/KhotSC17
fatcat:pa7o4kqbmjgwpke5r6reu7lgy4