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Quantification Annotation in ISO 24617-12, Second Draft

Authors :
Bunt, Harry
Amblard, Maxime
Bos, Johan
Fort, Karën
de Groote, Philippe
Guillaume, Bruno
Li, Chuyuan
Ludmann, Pierre
Musiol, Michel
Pavlova, Siyana
Perrier, Guy
Pogodalla, Sylvain
Tilburg University [Tilburg]
Netspar
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)
University of Groningen [Groningen]
Sorbonne Université (SU)
Analyse et Traitement Informatique de la Langue Française (ATILF)
Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Nicoletta Calzolari
Frédéric Béchet
Hélène Mazo
Jan Odijk
Stelios Piperidis
Philippe Blache
Khalid Choukri
Christopher Cieri
Thierry Declerck
Sara Goggi
Hitoshi Isahara
Bente Maegaard
Joseph Mariani
Amblard, Maxime
Source :
Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), Jun 2022, Marseille, France. pp.3407--3416
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

International audience; This paper describes the continuation of a project that aims at establishing an interoperable annotation scheme for quantification phenomena as part of the ISO suite of standards for semantic annotation, known as the Semantic Annotation Framework. After a break, caused by the Covid-19 pandemic, the project was relaunched in early 2022 with a second working draft, which deals with certain issues in the annotation of quantification in a more satisfactory way than the original first working draft.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), Jun 2022, Marseille, France. pp.3407--3416
Accession number :
edsair.dedup.wf.001..a1e60d291a2f5ef47171119afb586257