Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Moncecchi, Guillermo"'
Computational Humor involves several tasks, such as humor recognition, humor generation, and humor scoring, for which it is useful to have human-curated data. In this work we present a corpus of 27,000 tweets written in Spanish and crowd-annotated by
Externí odkaz:
http://arxiv.org/abs/1710.00477
Publikováno v:
Presented in Iberamia 2016. The final publication is available at link.springer.com: https://link.springer.com/chapter/10.1007%2F978-3-319-47955-2_12
While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics. There exist some previous works, but a charact
Externí odkaz:
http://arxiv.org/abs/1703.09527
Autor:
Rosá, Aiala, Chiruzzo, Luis, Bouza, Lucía, Dragonetti, Alina, Castro, Santiago, Etcheverry, Mathias, Góngora, Santiago, Goycoechea, Santiago, Machado, Juan, Moncecchi, Guillermo, Prada, Juan José, Wonsever, Dina
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
We present the results of the QuALES task, which addresses the problem of Extractive Question Answering from texts. For both training and evaluation we use the QuALES corpus, a corpus of Uruguayan media news about the Covid-19 pandemic and related to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e520890cd23e8892ca35f753eac0b782
https://hdl.handle.net/10045/127433
https://hdl.handle.net/10045/127433
Autor:
Moncecchi, Guillermo, Pintos, Javier, Ponzo, Jacqueline, Fariello, Maria Ines, Fiori, Marcelo, Lecumberry, Federico
Publikováno v:
COLIBRI
Universidad de la República
instacron:Universidad de la República
Universidad de la República
instacron:Universidad de la República
Los eventos de supercontagio, aquellos donde se produce una transmisión de la enfermedad a un número de personas mucho mayor al promedio para esa misma enfermedad, presentan un riesgo importante para el manejo de la pandemia de COVID-19 en los pró
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::2e6bcac15754ef220841dca1a9944529
https://guiad-covid.github.io/publication/nota8/
https://guiad-covid.github.io/publication/nota8/
About This BookUse Python and scikit-learn to create intelligent applicationsDiscover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domainA practical, example-based guide to h
Autor:
Moncecchi, Guillermo
Publikováno v:
Artificial Intelligence [cs.AI]. Université de Nanterre-Paris X; Universidad de la República-Proyecto de Apoyo a las Ciencias Básicas, 2013. English
COLIBRI
Universidad de la República
instacron:Universidad de la República
Artificial Intelligence [cs.AI]. Université de Nanterre-Paris X; Universidad de la República-Proyecto de Apoyo a las Ciencias Básicas, 2013. English. ⟨NNT : ⟩
COLIBRI
Universidad de la República
instacron:Universidad de la República
Artificial Intelligence [cs.AI]. Université de Nanterre-Paris X; Universidad de la República-Proyecto de Apoyo a las Ciencias Básicas, 2013. English. ⟨NNT : ⟩
This thesis studies the use of sequential supervised learning methods on two tasks related to the detection of hedging in scientific articles: those of hedge cue identification and hedge cue scope detection. Both tasks are addressed using a learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6ad00cf5e30bf5592bca88957db1e306
https://tel.archives-ouvertes.fr/tel-00800552
https://tel.archives-ouvertes.fr/tel-00800552
Autor:
Garreta, Raúl, Moncecchi, Guillermo
The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this the book
Autor:
Moncecchi, Guillermo
Ce travail de thèse propose une méthodologie visant la résolution de certains problèmes de classification, notamment ceux concernant la classification séquentielle en tâches de Traitement Automatique des Langues. Afin d'améliorer les résultat
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00800552
http://tel.archives-ouvertes.fr/docs/00/80/05/52/PDF/thesis.pdf
http://tel.archives-ouvertes.fr/docs/00/80/05/52/PDF/thesis.pdf
Publikováno v:
ExProM 2012
Roser Morante, Caroline Sporleder. ExProM 2012, Jul 2012, Jeju, South Korea. Association for Computational Linguistics (ACL), pp.37-46, 2012
Roser Morante, Caroline Sporleder. ExProM 2012, Jul 2012, Jeju, South Korea. Association for Computational Linguistics (ACL), pp.37-46, 2012
International audience; In this paper we present a methodology to improve a supervised classifier analyzing classification errors and incorporating expert knowledge to the learning process, without hurting classifier performance. We implement and eva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4d4a74e7ebf34f3aeb4f0bb123820568
https://halshs.archives-ouvertes.fr/halshs-00721590
https://halshs.archives-ouvertes.fr/halshs-00721590