Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thiago A. S. Pardo"'
Publikováno v:
Information, Vol 11, Iss 9, p 422 (2020)
Paraphrase detection is a Natural-Language Processing (NLP) task that aims at automatically identifying whether two sentences convey the same meaning (even with different words). For the Portuguese language, most of the works model this task as a mac
Externí odkaz:
https://doaj.org/article/920d42b76e5b4f47936be64b3a79b5eb
Publikováno v:
Linguamática, Vol 2, Iss 2 (2010)
Este artigo faz uma breve apresentação do Núcleo Interinstitucional de Linguística Computacional (NILC), que é um dos principais grupos brasileiros dedicado a pesquisas na área de Processamento de Línguas Naturais, particularmente do portuguê
Externí odkaz:
https://doaj.org/article/9bfc1f89d7814157b1c483858d313e7f
This paper provides data resources for low-resource hate speech detection. Specifically, we introduce a large-scale expert annotated corpus of Brazilian Instagram comments and a context-aware offensive lexicon, which was manually extracted by a lingu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ebd53524e596a7c89b3ed5f2f5ab75d
https://doi.org/10.21203/rs.3.rs-2050376/v2
https://doi.org/10.21203/rs.3.rs-2050376/v2
In the paper, we characterise DANTEStocks - a corpus of stock market tweets annotated with morphosyntactic information - in terms of the distribution of the PoS tags present in it. This effort provides a benchmark against which to compare other corpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa74958ee35125973ec522e9204cf85
https://doi.org/10.36227/techrxiv.21594384.v1
https://doi.org/10.36227/techrxiv.21594384.v1
Autor:
Francielle Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes, Thiago A. S. Pardo, Fabrício Benevenuto
This paper provides the first large-scale expert annotated corpus of Brazilian Instagram comments, a multilayer annotation schema for hate speech and offensive language detection on social media, and a contextual-aware offensive lexicon annotated wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::376a38e55064ba3b5afd421c444c935e
https://doi.org/10.21203/rs.3.rs-2050376/v1
https://doi.org/10.21203/rs.3.rs-2050376/v1
Autor:
Ariani Di Felippo, Caroline Postali, Gabriel Ceregatto, Laura S. Gazana, Emanuel H. da Silva, Norton T. Roman, Thiago A. S. Pardo
Publikováno v:
Anais do XIII Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL 2021).
A anotação de textos informais segundo a Universal Dependencies requer dois processos de segmentação: delimitação da unidade relevante para a análise sintática e identificação das palavras sintáticas. Neste artigo, apresentam-se as idiossi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee48829d9e0425f326870b6e6690b54
https://doi.org/10.5753/stil.2021.17813
https://doi.org/10.5753/stil.2021.17813
Autor:
Pablo F. Matos, Leonardo O. Lombardi, Thiago A. S. Pardo, Cristina D. A. Ciferri, Marina T. P. Vieira, Ricardo R. Ciferri
Publikováno v:
Trends in Applied Intelligent Systems ISBN: 9783642130212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::783a773b52593ba3077954826a3e8a7f
https://doi.org/10.1007/978-3-642-13022-9_31
https://doi.org/10.1007/978-3-642-13022-9_31