Gazetteer Generation for Neural Named Entity Recognition

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dc.contributor.authorSong, Chan Hee
dc.contributor.authorLawrie, Dawn
dc.contributor.authorFinin, Tim
dc.contributor.authorMayfield, James
dc.date.accessioned2020-04-09T19:08:40Z
dc.date.available2020-04-09T19:08:40Z
dc.date.issued2020-05-17
dc.descriptionProceedings of the 33rd International FLAIRS Conferenceen_US
dc.description.abstractWe present a way to generate gazetteers from the Wikidata knowledge graph and use the lists to improve a neural NER system by adding an input feature indicating that a word is part of a name in the gazetteer. We empirically show that the approach yields performance gains in two distinct languages: a high-resource, word-based language, English and a high-resource, character-based language, Chinese. We apply the approach to a low-resource language, Russian, using a new annotated Russian NER corpus from Reddit tagged with four core and eleven extended types, and show a baseline score.en_US
dc.description.urihttps://aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18451
dc.format.extent4 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/m2hpfl-wyov
dc.identifier.citationSong, Chan Hee; Lawrie, Dawn; Finin, Tim; Mayfield, James; Gazetteer Generation for Neural Named Entity Recognition; Proceedings of the 33rd International FLAIRS Conference (2020); https://aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18451en_US
dc.identifier.urihttp://hdl.handle.net/11603/17912
dc.language.isoen_USen_US
dc.publisherFLAIRS
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Ebiquity Research Group
dc.titleGazetteer Generation for Neural Named Entity Recognitionen_US
dc.typeTexten_US

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