ENCADEAr: encadeamento automático de notícias

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Carla Abreu (Autor) Outra; teixeira, j (Autor) FEUP; Eugénio Oliveira (Autor) FEUP

Revista

Título: OSLa : Oslo Studies in Language

Vol. 6 Nº 1

Páginas: 153-181

ISSN: 1890-9639

Editora: University of Oslo

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Físicas > Ciência de computadores > Informática

Outras Informações

Resumo (PT): This work aims at defining and evaluating different techniques to automa- tically build temporal news sequences. The approach proposed is composed by three steps: (i) near duplicate documents detention; (ii) keywords ex- traction; (iii) news sequences creation. This approach is based on: Natural Language Processing, Information Extraction, Name Entity Recognition and supervised learning algorithms. The proposed methodology got a precision of 93.1% for news chains sequences creation.

Abstract (EN): This work aims at defining and evaluating different techniques to automa- tically build temporal news sequences. The approach proposed is composed by three steps: (i) near duplicate documents detention; (ii) keywords ex- traction; (iii) news sequences creation. This approach is based on: Natural Language Processing, Information Extraction, Name Entity Recognition and supervised learning algorithms. The proposed methodology got a precision of 93.1% for news chains sequences creation.

Idioma: Português

Tipo (Avaliação Docente): Científica

Notas: Ebeling, Grønn, Hauge & Santos (eds.) Corpus-basedStudiesinContrastiveLinguistics , Oslo Studies in Language 6(1), 2014. 1¿29. (ISSN 1890-9639) http://www.journals.uio.no/osla

Nº de páginas: 29