@inproceedings{barque-etal-2020-frsemcor,
title = "{F}r{S}em{C}or: Annotating a {F}rench Corpus with Supersenses",
author = "Barque, Lucie and
Haas, Pauline and
Huyghe, Richard and
Tribout, Delphine and
Candito, Marie and
Crabb{\'e}, Benoit and
Segonne, Vincent",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.724",
pages = "5912--5918",
abstract = "French, as many languages, lacks semantically annotated corpus data. Our aim is to provide the linguistic and NLP research communities with a gold standard sense-annotated corpus of French, using WordNet Unique Beginners as semantic tags, thus allowing for interoperability. In this paper, we report on the first phase of the project, which focused on the annotation of common nouns. The resulting dataset consists of more than 12,000 French noun occurrences which were annotated in double blind and adjudicated according to a carefully redefined set of supersenses. The resource is released online under a Creative Commons Licence.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>French, as many languages, lacks semantically annotated corpus data. Our aim is to provide the linguistic and NLP research communities with a gold standard sense-annotated corpus of French, using WordNet Unique Beginners as semantic tags, thus allowing for interoperability. In this paper, we report on the first phase of the project, which focused on the annotation of common nouns. The resulting dataset consists of more than 12,000 French noun occurrences which were annotated in double blind and adjudicated according to a carefully redefined set of supersenses. The resource is released online under a Creative Commons Licence.</abstract>
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%0 Conference Proceedings
%T FrSemCor: Annotating a French Corpus with Supersenses
%A Barque, Lucie
%A Haas, Pauline
%A Huyghe, Richard
%A Tribout, Delphine
%A Candito, Marie
%A Crabbé, Benoit
%A Segonne, Vincent
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F barque-etal-2020-frsemcor
%X French, as many languages, lacks semantically annotated corpus data. Our aim is to provide the linguistic and NLP research communities with a gold standard sense-annotated corpus of French, using WordNet Unique Beginners as semantic tags, thus allowing for interoperability. In this paper, we report on the first phase of the project, which focused on the annotation of common nouns. The resulting dataset consists of more than 12,000 French noun occurrences which were annotated in double blind and adjudicated according to a carefully redefined set of supersenses. The resource is released online under a Creative Commons Licence.
%U https://aclanthology.org/2020.lrec-1.724
%P 5912-5918
Markdown (Informal)
[FrSemCor: Annotating a French Corpus with Supersenses](https://aclanthology.org/2020.lrec-1.724) (Barque et al., LREC 2020)
ACL
- Lucie Barque, Pauline Haas, Richard Huyghe, Delphine Tribout, Marie Candito, Benoit Crabbé, and Vincent Segonne. 2020. FrSemCor: Annotating a French Corpus with Supersenses. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 5912–5918, Marseille, France. European Language Resources Association.