Summarization of films and documentaries based on subtitles and scripts

Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/11020

Autoria:	Aparício, M. Figueiredo, P. Raposo, F. de Matos, D. Ribeiro, R. Marujo, L.
Data:	2016
Título próprio:	Summarization of films and documentaries based on subtitles and scripts
Volume:	73
Paginação:	7 - 12
ISSN:	0167-8655
DOI (Digital Object Identifier):	10.1016/j.patrec.2015.12.016
Palavras-chave:	Automatic text summarization Generic summarization Summarization of films Summarization of documentaries
Resumo:	We assess the performance of generic text summarization algorithms applied to films and documentaries, using extracts from news articles produced by reference models of extractive summarization. We use three datasets: (i) news articles, (ii) film scripts and subtitles, and (iii) documentary subtitles. Standard ROUGE metrics are used for comparing generated summaries against news abstracts, plot summaries, and synopses. We show that the best performing algorithms are LSA, for news articles and documentaries, and LexRank and Support Sets, for films. Despite the different nature of films and documentaries, their relative behavior is in accordance with that obtained for news articles.
Arbitragem científica:	yes
Acesso:	Acesso Aberto
Aparece nas coleções:	CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica

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