Deep Syntax Annotation of the Sequoia French Treebank
International audience 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 result...
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ftunivrennes1hal:oai:HAL:hal-00969191v2 2023-10-09T21:52:40+02:00 Deep Syntax Annotation of the Sequoia French Treebank Candito, Marie Perrier, Guy Guillaume, Bruno Ribeyre, Corentin Fort, Karen Seddah, Djamé Villemonte de La Clergerie, Éric Analyse Linguistique Profonde à Grande Echelle Large-scale deep linguistic processing (ALPAGE) Inria Paris-Rocquencourt Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris Diderot - Paris 7 (UPD7) Semantic Analysis of Natural Language (SEMAGRAMME) Inria Nancy - Grand Est Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD) Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) Programme “Investissements d’avenir” géré par l’Agence Nationale de laRecherche ANR-10-LABX-0083 (Labex EFL) ANR-11-IDEX-0005,USPC,Université Sorbonne Paris Cité(2011) Reykjavik, Iceland 2014-05-26 https://inria.hal.science/hal-00969191 https://inria.hal.science/hal-00969191v2/document https://inria.hal.science/hal-00969191v2/file/deep_sequoia.final_with_keywords.pdf en eng HAL CCSD hal-00969191 https://inria.hal.science/hal-00969191 https://inria.hal.science/hal-00969191v2/document https://inria.hal.science/hal-00969191v2/file/deep_sequoia.final_with_keywords.pdf info:eu-repo/semantics/OpenAccess International Conference on Language Resources and Evaluation (LREC) https://inria.hal.science/hal-00969191 International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland treebank deep syntax diathesis alternation [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing info:eu-repo/semantics/conferenceObject Conference papers 2014 ftunivrennes1hal 2023-09-12T22:44:28Z International audience 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. Conference Object Iceland Université de Rennes 1: Publications scientifiques (HAL) |
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Université de Rennes 1: Publications scientifiques (HAL) |
op_collection_id |
ftunivrennes1hal |
language |
English |
topic |
treebank deep syntax diathesis alternation [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing |
spellingShingle |
treebank deep syntax diathesis alternation [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing Candito, Marie Perrier, Guy Guillaume, Bruno Ribeyre, Corentin Fort, Karen Seddah, Djamé Villemonte de La Clergerie, Éric Deep Syntax Annotation of the Sequoia French Treebank |
topic_facet |
treebank deep syntax diathesis alternation [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing |
description |
International audience 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. |
author2 |
Analyse Linguistique Profonde à Grande Echelle Large-scale deep linguistic processing (ALPAGE) Inria Paris-Rocquencourt Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris Diderot - Paris 7 (UPD7) Semantic Analysis of Natural Language (SEMAGRAMME) Inria Nancy - Grand Est Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD) Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) Programme “Investissements d’avenir” géré par l’Agence Nationale de laRecherche ANR-10-LABX-0083 (Labex EFL) ANR-11-IDEX-0005,USPC,Université Sorbonne Paris Cité(2011) |
format |
Conference Object |
author |
Candito, Marie Perrier, Guy Guillaume, Bruno Ribeyre, Corentin Fort, Karen Seddah, Djamé Villemonte de La Clergerie, Éric |
author_facet |
Candito, Marie Perrier, Guy Guillaume, Bruno Ribeyre, Corentin Fort, Karen Seddah, Djamé Villemonte de La Clergerie, Éric |
author_sort |
Candito, Marie |
title |
Deep Syntax Annotation of the Sequoia French Treebank |
title_short |
Deep Syntax Annotation of the Sequoia French Treebank |
title_full |
Deep Syntax Annotation of the Sequoia French Treebank |
title_fullStr |
Deep Syntax Annotation of the Sequoia French Treebank |
title_full_unstemmed |
Deep Syntax Annotation of the Sequoia French Treebank |
title_sort |
deep syntax annotation of the sequoia french treebank |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://inria.hal.science/hal-00969191 https://inria.hal.science/hal-00969191v2/document https://inria.hal.science/hal-00969191v2/file/deep_sequoia.final_with_keywords.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
International Conference on Language Resources and Evaluation (LREC) https://inria.hal.science/hal-00969191 International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland |
op_relation |
hal-00969191 https://inria.hal.science/hal-00969191 https://inria.hal.science/hal-00969191v2/document https://inria.hal.science/hal-00969191v2/file/deep_sequoia.final_with_keywords.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1779315832970543104 |