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arXiv · 1807.11276

Graphene: Semantically-Linked Propositions in Open Information Extraction

Matthias Cetto·Christina Niklaus·André Freitas·Siegfried Handschuh
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Abstract

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.

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Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh. 2018-07-30. Graphene: Semantically-Linked Propositions in Open Information Extraction. https://arxiv.org/abs/1807.11276

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