Abstract
Open Information Extraction (OIE) is a recent unsupervised strategy to extract great amounts of basic propositions (verb-based triples) from massive text corpora which scales to Web-size document collections. We will introduce the main properties of this extraction method.
BibTeX - Entry
@InProceedings{gamallo:OASIcs:2014:4555,
author = {Pablo Gamallo},
title = {{An Overview of Open Information Extraction (Invited talk)}},
booktitle = {3rd Symposium on Languages, Applications and Technologies},
pages = {13--16},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-939897-68-2},
ISSN = {2190-6807},
year = {2014},
volume = {38},
editor = {Maria Jo{\~a}o Varanda Pereira and Jos{\'e} Paulo Leal and Alberto Sim{\~o}es},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2014/4555},
URN = {urn:nbn:de:0030-drops-45559},
doi = {10.4230/OASIcs.SLATE.2014.13},
annote = {Keywords: information extraction, natural language processing}
}
Keywords: |
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information extraction, natural language processing |
Collection: |
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3rd Symposium on Languages, Applications and Technologies |
Issue Date: |
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2014 |
Date of publication: |
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18.06.2014 |