@inproceedings{daille-etal-2016-ambiguity,
title = "Ambiguity Diagnosis for Terms in Digital Humanities",
author = {Daille, B{\'e}atrice and
Jacquey, Evelyne and
Lejeune, Ga{\"e}l and
Melo, Luis Felipe and
Toussaint, Yannick},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1690",
pages = "4353--4359",
abstract = "Among all researches dedicating to terminology and word sense disambiguation, little attention has been devoted to the ambiguity of term occurrences. If a lexical unit is indeed a term of the domain, it is not true, even in a specialised corpus, that all its occurrences are terminological. Some occurrences are terminological and other are not. Thus, a global decision at the corpus level about the terminological status of all occurrences of a lexical unit would then be erroneous. In this paper, we propose three original methods to characterise the ambiguity of term occurrences in the domain of social sciences for French. These methods differently model the context of the term occurrences: one is relying on text mining, the second is based on textometry, and the last one focuses on text genre properties. The experimental results show the potential of the proposed approaches and give an opportunity to discuss about their hybridisation.",
}
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%0 Conference Proceedings
%T Ambiguity Diagnosis for Terms in Digital Humanities
%A Daille, Béatrice
%A Jacquey, Evelyne
%A Lejeune, Gaël
%A Melo, Luis Felipe
%A Toussaint, Yannick
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F daille-etal-2016-ambiguity
%X Among all researches dedicating to terminology and word sense disambiguation, little attention has been devoted to the ambiguity of term occurrences. If a lexical unit is indeed a term of the domain, it is not true, even in a specialised corpus, that all its occurrences are terminological. Some occurrences are terminological and other are not. Thus, a global decision at the corpus level about the terminological status of all occurrences of a lexical unit would then be erroneous. In this paper, we propose three original methods to characterise the ambiguity of term occurrences in the domain of social sciences for French. These methods differently model the context of the term occurrences: one is relying on text mining, the second is based on textometry, and the last one focuses on text genre properties. The experimental results show the potential of the proposed approaches and give an opportunity to discuss about their hybridisation.
%U https://aclanthology.org/L16-1690
%P 4353-4359
Markdown (Informal)
[Ambiguity Diagnosis for Terms in Digital Humanities](https://aclanthology.org/L16-1690) (Daille et al., LREC 2016)
ACL
- Béatrice Daille, Evelyne Jacquey, Gaël Lejeune, Luis Felipe Melo, and Yannick Toussaint. 2016. Ambiguity Diagnosis for Terms in Digital Humanities. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4353–4359, Portorož, Slovenia. European Language Resources Association (ELRA).