Transfer Learning for Named Entity Recognition in Historical Corpora.

Konstantin Todorov; Giovanni Colavizza

Transfer Learning for Named Entity Recognition in Historical Corpora.

Research output: Contribution to conference › Paper › Research › peer-review

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Original language	English
Publication date	2020
Publication status	Published - 2020
Externally published	Yes

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DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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FulltextsFinal published version, 498 KBLicence: CC BY

https://dblp.org/rec/conf/clef/TodorovC20Licence: CC BY

Cite this

@conference{0772d609c0ab4b9dabb17eca71de7325,

title = "Transfer Learning for Named Entity Recognition in Historical Corpora.",

author = "Konstantin Todorov and Giovanni Colavizza",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2020",

language = "English",

}

TY - CONF

T1 - Transfer Learning for Named Entity Recognition in Historical Corpora.

AU - Todorov, Konstantin

AU - Colavizza, Giovanni

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

M3 - Paper

ER -