Article | Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland | Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish Linköping University Electronic Press Conference Proceedings
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Title:
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish
Author:
Barbara Plank: Department of Computer Science, ITU, IT University of Copenhagen, Denmark
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Full text (pdf)
Year:
2019
Conference:
Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland
Issue:
167
Article no.:
043
Pages:
370-375
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2019-10-02
ISBN:
978-91-7929-995-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Named Entity Recognition (NER) has greatly advanced by the introduction of deep neural architectures. However, the success of these methods depends on large amounts of training data. The scarcity of publiclyavailable human-labeled datasets has resulted in limited evaluation of existing NER systems, as is the case for Danish. This paper studies the effectiveness of cross-lingual transfer for Danish, evaluates its complementarity to limited gold data, and sheds light on performance of Danish NER.

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Barbara Plank
Title:
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish
References:
No references available

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Barbara Plank
Title:
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish
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Last updated: 2019-11-06