Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Juan Soler-Company"'
A considerable body of research deals with the automatic identification of hate speech and related phenomena. However, cross-dataset model generalization remains a challenge. In this context, we address two still open central questions: (i) to what e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f11e4700cc8659704c9bbc01831769f
http://hdl.handle.net/10230/53157
http://hdl.handle.net/10230/53157
Publikováno v:
Proceedings of the 1st Workshop on NLP for Positive Impact.
The range of works that can be considered as developing NLP for social good (NLP4SG) is enormous. While many of them target the identification of hate speech or fake news, there are others that address, e.g., text simplification to alleviate conseque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::212abe7e1002f2eb806a2d513304ec29
https://doi.org/10.18653/v1/2021.nlp4posimpact-1.3
https://doi.org/10.18653/v1/2021.nlp4posimpact-1.3
Autor:
Juan Soler-Company, Leo Wanner
Publikováno v:
Pattern Recognition Letters. 105:87-95
Author and author gender identification are two major tasks in the context of profiling of authors of written material. Author identification (or, more precisely, “authorship attribution”) copes with the assignment of the author, who is to be cho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1a3488f023014e4aacfde85630b43cc
https://doi.org/10.1016/j.patrec.2017.12.006
https://doi.org/10.1016/j.patrec.2017.12.006
Publikováno v:
SemEval@NAACL-HLT
This paper summarizes the participation of Stop PropagHate team at SemEval 2019. Our approach is based on replicating one of the most relevant works on the literature, using word embeddings and LSTM. After circumventing some of the problems of the or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d53395baa09e8df3c5eac669a9ea094
https://doi.org/10.18653/v1/s19-2131
https://doi.org/10.18653/v1/s19-2131
Publikováno v:
Proceedings of the Third Workshop on Abusive Language Online.
Over the past years, the amount of online offensive speech has been growing steadily. To successfully cope with it, machine learning are applied. However, ML-based techniques require sufficiently large annotated datasets. In the last years, different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0984009268e32a3cd69b8706aa5c6b4f
https://doi.org/10.18653/v1/w19-3510
https://doi.org/10.18653/v1/w19-3510
Autor:
Juan Soler Company, Wanner, L.
Publikováno v:
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Recercat. Dipósit de la Recerca de Catalunya
instname
Comunicació presentada a: LREC 2016, Tenth International Conference on Language Resources and Evaluation, celebrada del 23 al 28 de maig de 2016 a Portorož, Eslovènia. In most of the research studies on Author Profiling, large quantities of correc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::25d24280fee27c31b186172faf2fce50
http://hdl.handle.net/10230/32753
http://hdl.handle.net/10230/32753
Publikováno v:
WCPR '14 Proceedings of the 2014 ACM Multi Media on Workshop on Computational Personality Recognition
WCPR@MM
WCPR@MM
This paper describes our submission for the WCPR14 shared task on computational personality recognition. We have investigated whether the features proposed by Soler and Wanner (2014) for gender prediction might also be useful in personality recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d639000c5ffcd2899864ce1af9585fa2
https://hdl.handle.net/10067/1220410151162165141
https://hdl.handle.net/10067/1220410151162165141
Autor:
Ioannis Kompatsiaris, Juan Soler-Company, Leo Wanner, Theodora Tsikrika, Stefanos Vrochidis, Despoina Chatzakou
Publikováno v:
12th ACM Conference on Web Science
WebSci
WebSci
Social media users often hold several accounts in their effort to multiply the spread of their thoughts, ideas, and viewpoints. In the particular case of objectionable content, users tend to create multiple accounts to bypass the combating measures e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119a8e73c46e221d6f921c3f64017c96
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
instname
Comunicació presentada a: Interspeech 2019, celebrada del 15 al 19 de setembre de 2019 a Graz, Àustria. PyToBI is introduced as a user-friendly toolkit for the automatic annotation of intonation contours using the Tones and Breaks Indexes conventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc0dc63dcb57060ca5cd04f84f86acc
http://hdl.handle.net/10230/42321
http://hdl.handle.net/10230/42321