Open IE as an intermediate structure for semantic tasks

Gabriel Stanovsky, Ido Dagan, Mausam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

53 Scopus citations

Abstract

Semantic applications typically extract in-formation from intermediate structures de-rived from sentences, such as dependency parse or semantic role labeling. In this pa-per, we study Open Information Extrac-tion's (Open IE) output as an additional in-termediate structure and find that for tasks such as text comprehension, word similar-ity and word analogy it can be very effec-tive. Specifically, for word analogy, Open IE-based embeddings surpass the state of the art. We suggest that semantic applica-tions will likely benefit from adding Open IE format to their set of potential sentence-level structures.

Original languageAmerican English
Title of host publicationACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages303-308
Number of pages6
ISBN (Electronic)9781941643730
DOIs
StatePublished - 2015
Externally publishedYes
Event53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015 - Beijing, China
Duration: 26 Jul 201531 Jul 2015

Publication series

NameACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference
Volume2

Conference

Conference53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015
Country/TerritoryChina
CityBeijing
Period26/07/1531/07/15

Bibliographical note

Publisher Copyright:
© 2015 Association for Computational Linguistics.

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