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Named entity recognition for novel types by transfer learning

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dc.contributor.authorQu, Lizhen
dc.contributor.authorFERRARO, GABRIELA
dc.contributor.authorZhou, Liyuan
dc.contributor.authorHou, Weiwei
dc.contributor.authorBaldwin, Timothy
dc.contributor.editorMartha Palmer
dc.contributor.editorRebecca Hwa
dc.contributor.editorSebastian Riedel
dc.coverage.spatialCopenhagen, Denmark
dc.date.accessioned2024-06-21T01:04:23Z
dc.date.available2024-06-21T01:04:23Z
dc.date.createdSeptember 7-11 2017
dc.date.issued2016
dc.date.updated2024-02-18T07:15:25Z
dc.description.abstractIn named entity recognition, we often don't have a large in-domain training corpus or a knowledge base with adequate coverage to train a model directly. In this paper, we propose a method where, given training data in a related domain with similar (but not identical) named entity (NE) types and a small amount of in-domain training data, we use transfer learning to learn a domain-specific NE model. That is, the novelty in the task setup is that we assume not just domain mismatch, but also label mismatch.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-1-945626-83-8
dc.identifier.urihttps://hdl.handle.net/1885/733713321
dc.language.isoen_AUen_AU
dc.publisherAssociation for Computational Linguistics
dc.relation.ispartofProceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
dc.relation.ispartofseriesConference on Empirical Methods in Natural Language Processing, EMNLP2017
dc.rights© 2016 Association for Computational Linguistics
dc.sourceProceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP2017
dc.titleNamed entity recognition for novel types by transfer learning
dc.typeConference paper
dcterms.accessRightsFree Access via publisher site
local.bibliographicCitation.lastpage905
local.bibliographicCitation.startpage899
local.contributor.affiliationQu, Lizhen, College of Engineering, Computing and Cybernetics, ANU
local.contributor.affiliationFERRARO, GABRIELA, College of Engineering, Computing and Cybernetics, ANU
local.contributor.affiliationZhou, Liyuan, NICTA
local.contributor.affiliationHou, Weiwei, ANU, CECS, RSCS (u5202546)
local.contributor.affiliationBaldwin, Timothy, University of Melbourne
local.contributor.authoruidQu, Lizhen, u5686441
local.contributor.authoruidFERRARO, GABRIELA, u5422389
local.description.embargo2099-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor460100 - Applied computing
local.identifier.absfor460200 - Artificial intelligence
local.identifier.ariespublicationa383154xPUB38766
local.identifier.doi10.18653/v1/d16-1087
local.identifier.scopusID2-s2.0-85021835278
local.publisher.urlhttps://aclanthology.org/D16-1087.pdf
local.type.statusPublished Version

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