FrSemCor: Annotating a French Corpus with Supersenses

Lucie Barque; Pauline Haas; Richard Huyghe; Delphine Tribout; Marie Candito; Benoit Crabbé; Vincent Segonne

FrSemCor: Annotating a French Corpus with Supersenses

Lucie Barque, Pauline Haas, Richard Huyghe, Delphine Tribout, Marie Candito, Benoit Crabbé, Vincent Segonne

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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.

Anthology ID:: 2020.lrec-1.724
Volume:: Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:: May
Year:: 2020
Address:: Marseille, France
Editors:: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association
Note:
Pages:: 5912–5918
Language:: English
URL:: https://aclanthology.org/2020.lrec-1.724/
DOI:
Bibkey:
Cite (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 Twelfth Language Resources and Evaluation Conference, pages 5912–5918, Marseille, France. European Language Resources Association.
Cite (Informal):: FrSemCor: Annotating a French Corpus with Supersenses (Barque et al., LREC 2020)
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PDF:: https://aclanthology.org/2020.lrec-1.724.pdf

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@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",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth 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",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    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."
}

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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
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%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

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Markdown (Informal)

[FrSemCor: Annotating a French Corpus with Supersenses](https://aclanthology.org/2020.lrec-1.724/) (Barque et al., LREC 2020)

FrSemCor: Annotating a French Corpus with Supersenses (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 Twelfth Language Resources and Evaluation Conference, pages 5912–5918, Marseille, France. European Language Resources Association.