Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Luque, Franco"'
Autor:
Pérez, Juan Manuel, Luque, Franco, Zayat, Demian, Kondratzky, Martín, Moro, Agustín, Serrati, Pablo, Zajac, Joaquín, Miguel, Paula, Debandi, Natalia, Gravano, Agustín, Cotik, Viviana
In recent years, hate speech has gained great relevance in social networks and other virtual media because of its intensity and its relationship with violent acts against members of protected groups. Due to the great amount of content generated by us
Externí odkaz:
http://arxiv.org/abs/2210.00465
Since BERT appeared, Transformer language models and transfer learning have become state-of-the-art for Natural Language Understanding tasks. Recently, some works geared towards pre-training specially-crafted models for particular domains, such as sc
Externí odkaz:
http://arxiv.org/abs/2111.09453
Autor:
Pérez, Juan Manuel, Rajngewerc, Mariela, Giudici, Juan Carlos, Furman, Damián A., Luque, Franco, Alemany, Laura Alonso, Martínez, María Vanina
In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopting cutting
Externí odkaz:
http://arxiv.org/abs/2106.09462
This paper describes our participation in SemEval-2020 Task 12: Multilingual Offensive Language Detection. We jointly-trained a single model by fine-tuning Multilingual BERT to tackle the task across all the proposed languages: English, Danish, Turki
Externí odkaz:
http://arxiv.org/abs/2008.06408
Autor:
Luque, Franco M.
In this article we describe our participation in TASS 2019, a shared task aimed at the detection of sentiment polarity of Spanish tweets. We combined different representations such as bag-of-words, bag-of-characters, and tweet embeddings. In particul
Externí odkaz:
http://arxiv.org/abs/1909.11241
Autor:
Luque, Franco M.
Formal languages theory is useful for the study of natural language. In particular, it is of interest to study the adequacy of the grammatical formalisms to express syntactic phenomena present in natural language. First, it helps to draw hypothesis a
Externí odkaz:
http://arxiv.org/abs/1703.04417
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Extracting opinions from texts has gathered a lot of interest in the last years, as we are experiencing an unprecedented volume of user-generated content in social networks and other places. A problem that social researchers find in using opinion min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e780af2f9fe0b3fc51b7ea5c5bd59134
Publikováno v:
13th International Conference in Grammatical Inference
13th International Conference in Grammatical Inference, Oct 2016, Delft, Netherlands
13th International Conference in Grammatical Inference, Oct 2016, Delft, Netherlands
International audience; The Sequence PredIction ChallengE (SPiCe) is an on-line competition that took place between March and July 2016. Each of the 15 problems was made of a set of whole sequences as training sample, a validation set of prefixes, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e86901055d1e4fade2c573cbdb456d84
https://hal.science/hal-01399429/file/results-SPiCe.pdf
https://hal.science/hal-01399429/file/results-SPiCe.pdf
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.