Is This a Joke? Detecting Humor in Spanish Tweets

Autor: Castro, Santiago, Cubero, Matías, Garat, Diego, Moncecchi, Guillermo

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

Overview of QuALES at IberLEF 2022: Question Answering Learning from Examples in Spanish

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)

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

Scikit-learn: Machine Learning Simplified

Autor: Garreta, Raúl, Moncecchi, Guillermo, Hauck, Trent, Hackeling, Gavin

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

Recognizing Speculative Language in Research Texts

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 : ⟩

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

Improving speculative language recognition incorporating expert knowledge

Autor: Moncecchi, Guillermo, Minel, Jean-Luc, Wonsever, Dina

Publikováno v: ExProM 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