Creating a Large Benchmark for Open Information Extraction

Gabriel Stanovsky, Ido Dagan · 2016

Open information extraction (Open IE) was presented as an unrestricted variant of traditional information extraction.It has been gaining substantial attention, manifested by a large number of automatic Open IE extractors and downstream applications.In spite of this broad attention, the Open IE task definition has been lacking -there are no formal guidelines and no large scale gold standard annotation.Subsequently, the various implementations of Open IE resorted to small scale posthoc evaluations, inhibiting an objective and reproducible cross-system comparison.In this work, we develop a methodology that leverages the recent QA-SRL annotation to create a first independent and large scale Open IE annotation, 1 and use it to automatically compare the most prominent Open IE systems.

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