@inproceedings{fokkens-etal-2014-biographynet,
title = "{B}iography{N}et: Methodological Issues when {NLP} supports historical research",
author = "Fokkens, Antske and
ter Braake, Serge and
Ockeloen, Niels and
Vossen, Piek and
Leg{\^e}ne, Susan and
Schreiber, Guus",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1103_Paper.pdf",
pages = "3728--3735",
abstract = "When NLP is used to support research in the humanities, new methodological issues come into play. NLP methods may introduce a bias in their analysis that can influence the results of the hypothesis a humanities scholar is testing. This paper addresses this issue in the context of BiographyNet a multi-disciplinary project involving NLP, Linked Data and history. We introduce the project to the NLP community. We argue that it is essential for historians to get insight into the provenance of information, including how information was extracted from text by NLP tools.",
}
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%0 Conference Proceedings
%T BiographyNet: Methodological Issues when NLP supports historical research
%A Fokkens, Antske
%A ter Braake, Serge
%A Ockeloen, Niels
%A Vossen, Piek
%A Legêne, Susan
%A Schreiber, Guus
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F fokkens-etal-2014-biographynet
%X When NLP is used to support research in the humanities, new methodological issues come into play. NLP methods may introduce a bias in their analysis that can influence the results of the hypothesis a humanities scholar is testing. This paper addresses this issue in the context of BiographyNet a multi-disciplinary project involving NLP, Linked Data and history. We introduce the project to the NLP community. We argue that it is essential for historians to get insight into the provenance of information, including how information was extracted from text by NLP tools.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1103_Paper.pdf
%P 3728-3735
Markdown (Informal)
[BiographyNet: Methodological Issues when NLP supports historical research](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1103_Paper.pdf) (Fokkens et al., LREC 2014)
ACL