@inproceedings{candito-etal-2014-developing,
title = "Developing a {F}rench {F}rame{N}et: Methodology and First results",
author = {Candito, Marie and
Amsili, Pascal and
Barque, Lucie and
Benamara, Farah and
de Chalendar, Ga{\"e}l and
Djemaa, Marianne and
Haas, Pauline and
Huyghe, Richard and
Mathieu, Yvette Yannick and
Muller, Philippe and
Sagot, Beno{\^\i}t and
Vieu, Laure},
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/496_Paper.pdf",
pages = "1372--1379",
abstract = "The Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis. We present the first part of the project: focusing on a set of notional domains, we delimited a subset of English frames, adapted them to French data when necessary, and developed the corresponding French lexicon. We believe that working domain by domain helped us to enforce the coherence of the resulting resource, and also has the advantage that, though the number of frames is limited (around a hundred), we obtain full coverage within a given domain.",
}
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<abstract>The Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis. We present the first part of the project: focusing on a set of notional domains, we delimited a subset of English frames, adapted them to French data when necessary, and developed the corresponding French lexicon. We believe that working domain by domain helped us to enforce the coherence of the resulting resource, and also has the advantage that, though the number of frames is limited (around a hundred), we obtain full coverage within a given domain.</abstract>
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%0 Conference Proceedings
%T Developing a French FrameNet: Methodology and First results
%A Candito, Marie
%A Amsili, Pascal
%A Barque, Lucie
%A Benamara, Farah
%A de Chalendar, Gaël
%A Djemaa, Marianne
%A Haas, Pauline
%A Huyghe, Richard
%A Mathieu, Yvette Yannick
%A Muller, Philippe
%A Sagot, Benoît
%A Vieu, Laure
%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 candito-etal-2014-developing
%X The Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis. We present the first part of the project: focusing on a set of notional domains, we delimited a subset of English frames, adapted them to French data when necessary, and developed the corresponding French lexicon. We believe that working domain by domain helped us to enforce the coherence of the resulting resource, and also has the advantage that, though the number of frames is limited (around a hundred), we obtain full coverage within a given domain.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/496_Paper.pdf
%P 1372-1379
Markdown (Informal)
[Developing a French FrameNet: Methodology and First results](http://www.lrec-conf.org/proceedings/lrec2014/pdf/496_Paper.pdf) (Candito et al., LREC 2014)
ACL
- Marie Candito, Pascal Amsili, Lucie Barque, Farah Benamara, Gaël de Chalendar, Marianne Djemaa, Pauline Haas, Richard Huyghe, Yvette Yannick Mathieu, Philippe Muller, Benoît Sagot, and Laure Vieu. 2014. Developing a French FrameNet: Methodology and First results. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1372–1379, Reykjavik, Iceland. European Language Resources Association (ELRA).