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Deep Syntax Annotation of the Sequoia French Treebank

Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)

DOI:10.63317/5bqg4zpbhn9f

Abstract

We define a deep syntactic representation scheme for French, which abstracts away from surface syntactic variation and diathesis alternations, and describe the annotation of deep syntactic representations on top of the surface dependency trees of the Sequoia corpus. The resulting deep-annotated corpus, named deep-sequoia, is freely available, and hopefully useful for corpus linguistics studies and for training deep analyzers to prepare semantic analysis.

Details

Paper ID
lrec2014-main-410
Pages
pp. 2298-2305
BibKey
candito-etal-2014-deep
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
978-2-9517408-8-4
Conference
Ninth International Conference on Language Resources and Evaluation
Location
Reykjavik, Iceland
Date
26 May 2014 31 May 2014

Authors

  • MC

    Marie Candito

  • GP

    Guy Perrier

  • BG

    Bruno Guillaume

  • CR

    Corentin Ribeyre

  • KF

    Karën Fort

  • DS

    Djamé Seddah

  • Éd

    Éric de la Clergerie

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