Systematic comparison of neural architectures and training approaches for open information extraction

Systematic comparison of neural architectures and training approaches for open information extraction

The goal of open information extraction (OIE) is to extract facts from natural language text, and to represent them as structured triples of the form (subject, predicate, object). For example, given the sentence »Beethoven composed the Ode to Joy.«, we are expected to extract the triple (Beethoven,...

書目詳細資料
Main Authors:	Hohenecker, P, Mtumbuka, F, Kocijan, V, Lukasiewicz, T
格式:	Conference item
語言:	English
出版:	Association for Computational Linguistics 2020

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