Graphene: A Context-Preserving Open Information Extraction System

Matthias Cetto, Christina Niklaus, Andre Freitas, Siegfried Handschuh

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

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Abstract

We introduce Graphene, an Open IE system whose goal is to generate accurate, meaningful and complete propositions that may facilitate a variety of downstream semantic applications. For this purpose, we transform syntactically complex input sentences into clean, compact structures in the form of core facts and accompanying contexts, while identifying the rhetorical relations that hold between them in order to maintain their semantic relationship. In that way, we preserve the context of the relational tuples extracted from a source sentence, generating a novel lightweight semantic representation for Open IE that enhances the expressiveness of the extracted propositions.
Original languageEnglish
Title of host publicationProceedings of the 27th International Conference on Computational Linguistics
Publication statusPublished - 2018
Event27th International Conference on Computational Linguistics - Santa Fe, United States
Duration: 20 Aug 201826 Aug 2018

Conference

Conference27th International Conference on Computational Linguistics
Abbreviated titleCOLING 2018
Country/TerritoryUnited States
CitySanta Fe
Period20/08/1826/08/18

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