Quantification Annotation in ISO 24617-12, Second Draft
| Autor: | 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 |
|---|---|
| Přispěvatelé: | 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 |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing [SCCO.COMP]Cognitive science/Computer science interoperability [INFO] Computer Science [cs] [SCCO.LING]Cognitive science/Linguistics semantic annotation quantification [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing [SCCO.COMP] Cognitive science/Computer science ISO standard annotation schema [INFO]Computer Science [cs] [SCCO.LING] Cognitive science/Linguistics |
| Zdroj: | 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 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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