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Published on Jul 22, 2016
Claudio Delli Bovi
Open Information Extraction: where are we going?
ABSTRACT: The Open Information Extraction (OIE) paradigm has received much attention in the NLP community over the last decade. Since the earliest days, most OIE approaches have been focusing on Web-scale corpora, which raises issues such as massive amounts of noise. Also, OIE systems can be very different in nature and develop their own type inventories, with no portable ontological structure. This talk steps back and explores both issues by presenting two substantially different approaches to the task: in the first we shift the target of a full-fledged OIE pipeline to a relatively small, dense corpus of definitional knowledge; in the second we try to make sense of different OIE outputs by merging them into a single, unified and fully disambiguated knowledge repository.