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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 58 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Chunk Different Kind of Spoken Discourse: Challenges for Machine Learning Eshkol-Taravella, Iris; Maarouf, Mariame; Badin, Flora; Skrovec, Marie; Tellier, Isabelle In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03482181 ; Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.5164-5168 ; https://aclanthology.org/2020.lrec-1.635/ (2020) Abstract: International audience ; This paper describes the development of a chunker for spoken data by supervised machine learning using the CRFs, based on a small reference corpus composed of two kinds of discourse: prepared monologue vs. spontaneous talk in interaction. The methodology considers the specific character of the spoken data. The machine learning uses the results of several available taggers, without correcting the results manually. Experiments show that the discourse type (monologue vs. free talk), the speech nature (spontaneous vs. prepared) and the corpus size can influence the results of the machine learning process and must be considered while interpreting the results. Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics URL: https://hal.archives-ouvertes.fr/hal-03482181/document https://hal.archives-ouvertes.fr/hal-03482181/file/lrec2020_chunks_final.pdf https://hal.archives-ouvertes.fr/hal-03482181 BASE Hide details 5 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 6 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 7 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 8 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 9 Integrating Dependency Parses with Sequential Patterns to Improve Relation Extraction ; Apport des dépendances syntaxiques et des patrons séquentiels à l'extraction de relations Gábor, Kata; Lechevrel, Nadège; Tellier, Isabelle... In: TALN 2018 ; https://hal.inria.fr/hal-02079719 ; TALN 2018, May 2018, Rennes, France (2018) BASE Show details 10 ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations Grobol, Loïc; Tellier, Isabelle; Villemonte de La Clergerie, Éric... In: LREC 2018 - 11th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01744572 ; LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org/en/ (2018) BASE Show details 11 Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR Désoyer, Adèle; Landragin, Frédéric; Tellier, Isabelle... In: Computational Linguistics and Intelligent Text Processing. ; https://hal.archives-ouvertes.fr/hal-01889593 ; Computational Linguistics and Intelligent Text Processing., n° 9623-9624, Springer, 2018, Lecture Notes in Computer Science (2018) BASE Show details 12 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 13 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 14 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 15 Experiences in using deep and shallow parsing to detect entity mentions in oral French ; Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral Grobol, Loïc; Tellier, Isabelle; Villemonte de La Clergerie, Éric... In: TALN 2017 ; https://hal.inria.fr/hal-01558711 ; TALN 2017, Association pour le Traitement Automatique des Langues (ATALA), Jun 2017, Orléans, France ; http://taln2017.cnrs.fr (2017) BASE Show details 16 Combining Syntactic and Sequential Patterns for Unsupervised Semantic Relation Extraction. Lechevrel, Nadège; Gábor, Kata; Tellier, Isabelle. - : HAL CCSD, 2017 In: https://hal.archives-ouvertes.fr/hal-01591501 ; CEUR-WS.org. Macedonia. 1881, pp.81-84, 2017, Interactions between Data Mining and Natural Language Processing 2017 (2017) BASE Show details 17 Structured Named Entity Recognition by Cascading CRFs Dupont, Yoann; Dinarelli, Marco; Tellier, Isabelle... In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579109 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary (2017) BASE Show details 18 Label-Dependencies Aware Recurrent Neural Networks Dupont, Yoann; Dinarelli, Marco; Tellier, Isabelle In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579071 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017) BASE Show details 19 Syntax-based queries for non-specialists: a new perspective on similarity research Wang, Ilaine; Kahane, Sylvain; Tellier, Isabelle In: American Association for Corpus Linguistics (AACL) & Technology for Second Language Learning (TSLL) ; https://halshs.archives-ouvertes.fr/halshs-01741060 ; American Association for Corpus Linguistics (AACL) & Technology for Second Language Learning (TSLL), Sep 2016, Ames (Iowa), United States (2016) BASE Show details 20 De l'exemple construit à l'exemple attesté : un système de requêtes syntaxiques pour non-spécialistes Wang, Ilaine; Kahane, Sylvain; Tellier, Isabelle In: Atelier Enseignement des Langues et TAL ; https://halshs.archives-ouvertes.fr/halshs-01399520 ; Atelier Enseignement des Langues et TAL, Jul 2016, Paris, France ; https://sites.google.com/site/eltal2016taln/home (2016) BASE Show details Page: 1 2 3

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