Deep Syntax Annotation of the Sequoia French Treebank

Marie Candito 1 Guy Perrier 2 Bruno Guillaume 2 Corentin Ribeyre 1 Karen Fort 2 Djamé Seddah 1 Éric Villemonte de la Clergerie 1
1 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
Inria Paris-Rocquencourt, UPD7 - Université Paris Diderot - Paris 7
2 SEMAGRAMME - Semantic Analysis of Natural Language
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
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.
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Marie Candito, Guy Perrier, Bruno Guillaume, Corentin Ribeyre, Karen Fort, et al.. Deep Syntax Annotation of the Sequoia French Treebank. International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland. ⟨hal-00969191v2⟩

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