Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Alonso Alemany, Laura"'
Akademický článek
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Akademický článek
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Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
In the last decade, factuality has undeniably been an area of growing interest in Natural Language Processing. This paper describes a rule-based tool to automatically identify the factual status of events in Spanish text, understood with respect to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::34e54a41c02da18611073da08829da07
https://hdl.handle.net/10045/122848
https://hdl.handle.net/10045/122848
Publikováno v:
FLAIRS 2019-32th International Florida Artificial Intelligence Research Society Conference
FLAIRS 2019-32th International Florida Artificial Intelligence Research Society Conference, May 2019, Sarasota, United States
FLAIRS 2019-32th International Florida Artificial Intelligence Research Society Conference, May 2019, Sarasota, United States
International audience; Argument mining is a rising area of Natural Language Processing (NLP) concerned with the automatic recognition and interpretation of argument components and their relations. Neural models are by now mature technologies to be e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::07f64eea0769e51f452504f3e18d46cf
https://hal.science/hal-02381078/file/18298-78917-1-PB.pdf
https://hal.science/hal-02381078/file/18298-78917-1-PB.pdf
Autor:
Cardellino, Cristian, Alonso Alemany, Laura, Teruel, Milagro, Villata, Serena, Marro, Santiago
Publikováno v:
FLAIRS 2019-32th International Florida Artificial Intelligence Research Society Conference
FLAIRS 2019-32th International Florida Artificial Intelligence Research Society Conference, May 2019, Sarasota, United States
FLAIRS 2019-32th International Florida Artificial Intelligence Research Society Conference, May 2019, Sarasota, United States
International audience; In this paper we adapt the semi-supervised deep learning architecture known as "Convolutional Ladder Networks", from the domain of computer vision, and explore how well it works for a semi-supervised Named Entity Recognition a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ac06faddb08f0ae2630fe2c74e5887bf
https://hal.archives-ouvertes.fr/hal-02381093/file/18295-78914-1-PB.pdf
https://hal.archives-ouvertes.fr/hal-02381093/file/18295-78914-1-PB.pdf
Autor:
Teruel, Milagro, Cardellino, Cristian, Cardellino, Fernando, Alonso Alemany, Laura, Villata, Serena
Publikováno v:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018
LREC 2018-11th International Conference on Language Resources and Evaluation
LREC 2018-11th International Conference on Language Resources and Evaluation, May 2018, Miyazaki, Japan. pp.1-4
LREC 2018-11th International Conference on Language Resources and Evaluation
LREC 2018-11th International Conference on Language Resources and Evaluation, May 2018, Miyazaki, Japan. pp.1-4
International audience; In this abstract we present a methodology to improve Argument annotation guidelines by exploiting inter-annotator agreement measures.After a first stage of the annotation effort, we have detected problematic issues via an anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::98fca41b3910303edde5434b9409490f
https://hal.science/hal-01876506
https://hal.science/hal-01876506
Publikováno v:
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with the 16th International Semantic Web Conference (ISWC 2017)
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with the 16th International Semantic Web Conference (ISWC 2017), Oct 2017, Wien, Austria
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with the 16th International Semantic Web Conference (ISWC 2017), Oct 2017, Wien, Austria
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::649ca6da65ec968829e96afbb8890903
https://hal.archives-ouvertes.fr/hal-01643665
https://hal.archives-ouvertes.fr/hal-01643665
Publikováno v:
Language and Computation (Foundational), First week
29th European Summer School in Logic, Language, and Information (ESSLI 2017)
29th European Summer School in Logic, Language, and Information (ESSLI 2017), Institut de Recherche en Informatique de Toulouse (IRIT); Laboratoire "Cognition, Langues, Langage, Ergonomie" (CLLE); Association for Logic, Language and Information (FoLLI), Jul 2017, Toulouse, France
29th European Summer School in Logic, Language, and Information (ESSLI 2017)
29th European Summer School in Logic, Language, and Information (ESSLI 2017), Institut de Recherche en Informatique de Toulouse (IRIT); Laboratoire "Cognition, Langues, Langage, Ergonomie" (CLLE); Association for Logic, Language and Information (FoLLI), Jul 2017, Toulouse, France
An Introduction to Argument mining; International audience; This course aims to provide an introduction to the fundamental concepts in the area of argumentation mining. This is an area with strong background in linguistics and in artificial intellige
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ff7b648744a2c09222eea8312166b0ee
https://hal.science/hal-03131893
https://hal.science/hal-03131893
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Proceedings of the 28th Annual Conference on Legal Knowledge and Information Systems
Proceedings of the 28th Annual Conference on Legal Knowledge and Information Systems, Dec 2015, Braga, Portugal. pp.21-30
Proceedings of the 28th Annual Conference on Legal Knowledge and Information Systems, Dec 2015, Braga, Portugal. pp.21-30
International audience; Managing licensing information and data rights is becoming a crucial issue in the Linked (Open) Data scenario. An open problem in this scenario is how to associate machine-readable licenses specifications to the data, so that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bdc8bef52c7e359c6d4b977877ecd4ac
https://hal.inria.fr/hal-01236697/document
https://hal.inria.fr/hal-01236697/document