Graphene: Semantically-Linked Propositions in Open Information Extraction
Type
conference paper
Date Issued
2018-08
Author(s)
Abstract (De)
We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal disembedding layer, together with rhetorical relation identification. In that way, we convert sentences that present a complex linguistic structure into simplified, syntactically sound sentences, from which we can extract propositions that are represented in a two-layered hierarchy in the form of core relational tuples and accompanying contextual information which are semantically linked via rhetorical relations. In a comparative evaluation, we demonstrate that our reference implementation Graphene outperforms state-of-the-art Open IE systems in the construction of correct n-ary predicate-argument structures. Moreover, we show that existing Open IE approaches can benefit from the transformation process of our framework.
Language
English
HSG Classification
contribution to scientific community
Book title
Proceedings of the 27th International Conference on Computational Linguistics
Publisher
Association for Computational Linguistics
Publisher place
Santa Fe, New Mexico, USA
Start page
2300
End page
2311
Event Title
The 27th International Conference on Computational Linguistics (COLING 2018)
Event Location
Santa Fe, New Mexico, USA
Event Date
20-26 Aug 2018
Subject(s)
Division(s)
Contact Email Address
matthias.cetto@unisg.ch
Eprints ID
257993
File(s)![Thumbnail Image]()
open.access
Name
C18-1195.pdf
Size
353.36 KB
Format
Adobe PDF
Checksum (MD5)
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