@inproceedings{muzerelle-etal-2014-ancor,
title = "{ANCOR}{\_}{C}entre, a large free spoken {F}rench coreference corpus: description of the resource and reliability measures",
author = {Muzerelle, Judith and
Lefeuvre, Ana{\"\i}s and
Schang, Emmanuel and
Antoine, Jean-Yves and
Pelletier, Aurore and
Maurel, Denis and
Eshkol, Iris and
Villaneau, Jeanne},
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/150_Paper.pdf",
pages = "843--847",
abstract = "This article presents ANCOR{\_}Centre, a French coreference corpus, available under the Creative Commons Licence. With a size of around 500,000 words, the corpus is large enough to serve the needs of data-driven approaches in NLP and represents one of the largest coreference resources currently available. The corpus focuses exclusively on spoken language, it aims at representing a certain variety of spoken genders. ANCOR{\_}Centre includes anaphora as well as coreference relations which involve nominal and pronominal mentions. The paper describes into details the annotation scheme and the reliability measures computed on the resource.",
}
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%0 Conference Proceedings
%T ANCOR_Centre, a large free spoken French coreference corpus: description of the resource and reliability measures
%A Muzerelle, Judith
%A Lefeuvre, Anaïs
%A Schang, Emmanuel
%A Antoine, Jean-Yves
%A Pelletier, Aurore
%A Maurel, Denis
%A Eshkol, Iris
%A Villaneau, Jeanne
%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 muzerelle-etal-2014-ancor
%X This article presents ANCOR_Centre, a French coreference corpus, available under the Creative Commons Licence. With a size of around 500,000 words, the corpus is large enough to serve the needs of data-driven approaches in NLP and represents one of the largest coreference resources currently available. The corpus focuses exclusively on spoken language, it aims at representing a certain variety of spoken genders. ANCOR_Centre includes anaphora as well as coreference relations which involve nominal and pronominal mentions. The paper describes into details the annotation scheme and the reliability measures computed on the resource.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/150_Paper.pdf
%P 843-847
Markdown (Informal)
[ANCOR_Centre, a large free spoken French coreference corpus: description of the resource and reliability measures](http://www.lrec-conf.org/proceedings/lrec2014/pdf/150_Paper.pdf) (Muzerelle et al., LREC 2014)
ACL
- Judith Muzerelle, Anaïs Lefeuvre, Emmanuel Schang, Jean-Yves Antoine, Aurore Pelletier, Denis Maurel, Iris Eshkol, and Jeanne Villaneau. 2014. ANCOR_Centre, a large free spoken French coreference corpus: description of the resource and reliability measures. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 843–847, Reykjavik, Iceland. European Language Resources Association (ELRA).