Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fernando Antônio Asevedo Nóbrega"'
Autor:
Márcio de Souza Dias, Ariani Di Felippo, Amanda Pontes Rassi, Paula Cristina Figueira Cardoso, Fernando Antônio Asevedo Nóbrega, Thiago Alexandre Salgueiro Pardo
Publikováno v:
Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 859-907 (2021)
Abstract: Automatic summaries commonly present diverse linguistic problems that affect textual quality and thus their understanding by users. Few studies have tried to characterize such problems and their relation with the performance of the summariz
Externí odkaz:
https://doaj.org/article/d388050ff761404f8226797ea0921862
Publikováno v:
Journal of the Brazilian Computer Society, Vol 24, Iss 1, Pp 1-12 (2018)
Abstract Update summarization aims at automatically producing a summary for a collection of texts for a reader that has already read some previous texts about the subject of interest. It is a challenging task, since it not only brings the demands fro
Externí odkaz:
https://doaj.org/article/1db9fcfbc1c74f2891c43e4eaf7ff199
Autor:
Marco Antonio Sobrevilla Cabezudo, Erick Galani Maziero, Jackson Wilke da Cruz Souza, Márcio de Souza Dias, Paula Christina Figueira Cardoso, Pedro Paulo Balage Filho, Verônica Agostini, Fernando Antônio Asevedo Nóbrega, Cláudia Dias de Barros, Ariani Di Felippo, Thiago Alexandre Salgueiro Pardo
Publikováno v:
Revista de Estudos da Linguagem, Vol 23, Iss 3, Pp 797-832 (2015)
Um dos problemas mais difíceis de serem tratados no Processamento de Linguagem Natural (PLN) é a ambiguidade lexical, pois as palavras podem expressar sentidos distintos de acordo com o contexto no qual elas ocorrem. Em PLN, a tarefa responsável p
Externí odkaz:
https://doaj.org/article/6738798d48f1455d8c7aaa629436b038
Publikováno v:
Journal of the Brazilian Computer Society, Vol 24, Iss 1, Pp 1-12 (2018)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Update summarization aims at automatically producing a summary for a collection of texts for a reader that has already read some previous texts about the subject of interest. It is a challenging task, since it not only brings the demands from the sum
Autor:
Alípio Mário Jorge, Thiago Alexandre Salgueiro Pardo, Pavel Brazdil, Fernando Antônio Asevedo Nóbrega
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030415044
PROPOR
PROPOR
The task of Sentence Compression aims at producing a shorter version of a given sentence. This task may assist many other applications, as Automatic Summarization and Text Simplification. In this paper, we investigate methods for Sentence Compression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03fe9369676ed47d315eff2b70a8a74
https://doi.org/10.1007/978-3-030-41505-1_26
https://doi.org/10.1007/978-3-030-41505-1_26
Publikováno v:
BRACIS
Update summarization aims at automatically producing a summary from a collection of texts for a reader that already has some previous knowledge about the subject. It is a challenging task, since it not only brings all the demands from the summarizati
Autor:
Adriana Maria Mariano Silveira e Souza, Sergio Scombatti deSouza, Jose Augusto Barbanti Gabarra Junior, Fernando Antônio Asevedo Nóbrega, Fabio Bezerra, Paula Approbato de Oliveira, Edmara T.P. Bergamo, Bruna Ghiraldini
Publikováno v:
Clinical Oral Implants Research. 30:64-64
Autor:
Adriana Maria Mariano Silveira e Souza, Fernando Antônio Asevedo Nóbrega, Sergio Scombatti deSouza, Bruna Ghiraldini, Paula Approbato de Oliveira, Jose Augusto Gabarra, Edmara T.P. Bergamo, Fabio Bezerra
Publikováno v:
Clinical Oral Implants Research. 30:106-106
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319415512
PROPOR
PROPOR
Sentence compression aims to produce a shorter version of an input sentence and it is very useful for many Natural Language applications. However, investigations in this field are frequently task focused and for English language. In this paper, we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::316c269edb4ea27888fbbd7847cdd31a
https://doi.org/10.1007/978-3-319-41552-9_25
https://doi.org/10.1007/978-3-319-41552-9_25
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
A ambiguidade lexical é considerada uma das principais barreiras para melhoria de aplicações do Processamento de Língua Natural (PLN). Neste contexto, tem-se a área de Desambiguação Lexical de Sentido (DLS), cujo objetivo é desenvolver e aval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2474101460cb4e6d733a8d9eba572f6
https://doi.org/10.11606/d.55.2013.tde-28082013-145948
https://doi.org/10.11606/d.55.2013.tde-28082013-145948