Harnessing Open Information Extraction for Entity Classification in a French Corpus

TitreHarnessing Open Information Extraction for Entity Classification in a French Corpus
Type de publicationConference Paper
Year of Publication2016
AuteursGotti, F., and P. Langlais
Conference NameCanadian AI 2016
PublisherSpringer International Publishing Switzerland
Mots-clésEntity classification, Named entities, Natural language processing, Open information extraction
RésuméWe describe a recall-oriented open information extraction system designed to extract knowledge from French corpora. We put it to the test by showing that general domain information triples (extracted from French Wikipedia) can be used for deriving new knowledge from domain-specific documents unrelated to Wikipedia. Specifically, we can label entity instances extracted in one corpus with the entity types identified in the other, with little supervision. We believe that the present study is the first one that focusses on such a cross-domain, recall-oriented approach in open information extraction.
Refereed DesignationRefereed
PDF: