Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gabor, Kata"'
Autor:
Bailly, Raphaël, Gábor, Kata
This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammati
Externí odkaz:
http://arxiv.org/abs/2005.01119
Autor:
Gabor, Kata
Introduction Besides lexical and morphological analysis, INTEX is capable of performing higher level linguistic analysis. The final goal of my work is to develop a complete tool chain under INTEX for analyzing Hungarian corpora. The analysis would in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::5420e787ab7d5d30cd806b7c4668acd0
http://books.openedition.org/pufc/27209
http://books.openedition.org/pufc/27209
Autor:
Ahmad, Khurshid, Baptista, Jorge, Blanco, Xavier, Boyacioglu, Nisan, Catena, Angels, Chevalier, Gisèle, Darmoni, Stéfan, Dibattista, Liborio, Di Palo, Lucia, Donabedian, Anaïd, Douyere, Magaly, Faísca, Luís, Fuchs, Manuel, Fuentes, Sandrine, Fuiano, Lucilla, Gabor, Kata, Gazeau, Marie-Aimée, Koeva, Svetla, Krstev, Cvetana, Lepetit, Xavier, Lesseva, Svetlozara, Long, Michael, Maurel, Denis, Montessuit, Nicolas, Mota, Cristina, Nagy, Viktor, Neveol, Aurélie, Pavlovic-Lazetic, Gordana, Petrovski, Aleksandar, Rogozan, Alexandrina, Rousselot, François, Seelbach, Dieter, Silberztein, Max, Traboulsi, Hayssam, Tutin, Agnès, Vajda, Péter, Varadi, Tamás, Vitas, Duško, Zellagui, Katia
Publikováno v:
France. Presses Universitaires de Franche-Comté, pp.482, 2007, Les Cahiers de la MSHE Ledoux, 978-2-84867-189-5. ⟨10.4000/books.pufc.26889⟩
INTEX and NooJ are linguistic development environments used as tools for the formalisation of natural languages, as corpus analysis tools, and also as tools for the development of Automatic Natural Language Processing (NLP) applications. Since 1993,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d88a1be9162d63e4382718866fca5345
https://doi.org/10.4000/books.pufc.26889
https://doi.org/10.4000/books.pufc.26889
Autor:
Gábor, Kata
La linguistique informatique est un domaine de recherche qui se concentre sur les méthodes et les perspectives de la modélisation formelle (statistique ou symbolique) de la langue naturelle. La linguistique informatique, tout comme la linguistique
Externí odkaz:
http://www.theses.fr/2012BESA1020/document
Autor:
Raphaël Bailly, Kata Gábor
Publikováno v:
ACL 2020
ACL 2020, Jul 2020, Seattle, United States
ACL
ACL 2020, Jul 2020, Seattle, United States
ACL
This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3e674fdaf27087b37f9451d36b32dd6
Autor:
Kata Gábor, Nadège Lechevrel, Isabelle Tellier, Thierry Charnois, Haifa Zargayouna, Davide Buscaldi
Publikováno v:
TALN 2018
TALN 2018, May 2018, Rennes, France
HAL
TALN 2018, May 2018, Rennes, France
HAL
In this paper, we investigate the contribution of syntactic features to the task of unsupervised clustering of semantic relation instances. Instances, i.e. couples of concepts appearing in scientific texts, are represented in a couple-pattern matrix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d9d9f2f69b6668805506459e5ceb8c0e
https://hal.inria.fr/hal-02079719
https://hal.inria.fr/hal-02079719
Publikováno v:
HAL
LREC 2016
LREC 2016, May 2016, Portoroz, Slovenia
LREC 2016
LREC 2016, May 2016, Portoroz, Slovenia
International audience; This paper describes the process of creating a corpus annotated for concepts and semantic relations in the scientific domain. A part of the ACL Anthology Corpus was selected for annotation, but the annotation process itself is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e6e8eb09d33c778d0f65bdd47d0b817c
https://hal.archives-ouvertes.fr/hal-01360407
https://hal.archives-ouvertes.fr/hal-01360407
Détection et classification non supervisées de relations sémantiques dans des articles scientifiques
Publikováno v:
HAL
JEP-TALN-RECITAL 2016
JEP-TALN-RECITAL 2016, Jul 2016, Paris, France
JEP-TALN-RECITAL 2016
JEP-TALN-RECITAL 2016, Jul 2016, Paris, France
International audience; Dans cet article, nous abordons une tâche encore peu explorée, consistant à extraire automatiquement l'état de l'art d'un domaine scientifique à partir de l'analyse d'articles de ce domaine. Nous la ramenons à deux sous-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b47d531e27546a14704c71ecb92b2d2f
https://hal.archives-ouvertes.fr/hal-01360400
https://hal.archives-ouvertes.fr/hal-01360400
Publikováno v:
HAL
Proceedings of the SAVE-SD Workshop at the 25th World Wide Web Conference
Proceedings of the SAVE-SD Workshop at the 25th World Wide Web Conference, Apr 2016, Montreal, Canada
Semantics, Analytics, Visualization. Enhancing Scholarly Data ISBN: 9783319536361
Proceedings of the SAVE-SD Workshop at the 25th World Wide Web Conference
Proceedings of the SAVE-SD Workshop at the 25th World Wide Web Conference, Apr 2016, Montreal, Canada
Semantics, Analytics, Visualization. Enhancing Scholarly Data ISBN: 9783319536361
International audience; We propose a method for improving access to scientific literature by analyzing the content of research papers beyond citation links and topic tracking. Our model relies on a typology of explicit semantic relations. These relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dabaa12edae5fdb98164483f66c2ba8f
https://hal.inria.fr/hal-01404983
https://hal.inria.fr/hal-01404983