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  4. Graphene: A Context-Preserving Open Information Extraction System
 
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Graphene: A Context-Preserving Open Information Extraction System

Type
conference paper
Date Issued
2018-08
Author(s)
Cetto, Matthias  
Niklaus, Christina  
Freitas, André
Handschuh, Siegfried  
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.
Language
English
HSG Classification
contribution to scientific community
Book title
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Publisher
Association for Computational Linguistics
Publisher place
Santa Fe, New Mexico
Start page
94
End page
98
Event Title
The 27th International Conference on Computational Linguistics (COLING 2018)
Event Location
Santa Fe, New Mexico, USA
Event Date
20-26 Aug 2018
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/100185
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

Contact Email Address
matthias.cetto@unisg.ch
Eprints ID
257991
File(s)
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Thumbnail Image

open.access

Name

C18-2021.pdf

Size

195.45 KB

Format

Adobe PDF

Checksum (MD5)

9d94a96dece0287925f8628ee6bcbdd5

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