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An initial study on text summarisation in film stories: Un estudio inicial sobre el resumen de argumentos de películas

Xu, Yan and Oakes, Michael (2010) An initial study on text summarisation in film stories: Un estudio inicial sobre el resumen de argumentos de películas. Sociedad Española para el Procesamiento de Lenguaje Natural, 44. ISSN 1135-5948

Item Type: Article

Abstract

The objective of our research is to produce summaries of films from collateral text which capture the semantic content and narrative structure and key lines of dialogue in film. Our hypothesis is that text summaries of movies can efficiently be produced by the use of text summarisation techniques on collateral texts: subtitles, audio descriptions and post-production screenplays. If time codings are available, then video summaries can be constructed from these text summaries. In this initial study, we form summaries by selecting the ten shots from the original film which contain the highest proportion of keywords. We define keywords in two ways: as mid-frequency words, since it is the mid-frequency words in a text which contain most information about the content of that text, and as named entities derived from the cast list of the film. Ye et al. (2007) argued that the quality of a summary can be evaluated based on the how many concepts in the original text are preserved after summarisation. We found that this approach to summary evaluation gave more favourable results than the ROUGE approach (Lin and Franz, 2004) of comparing the number of matching character sequences in an automatic and a human-generated summary.

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More Information

Depositing User: Glenda Young

Identifiers

Item ID: 3244
ISSN: 1135-5948
URI: http://sure.sunderland.ac.uk/id/eprint/3244
Official URL: http://journal.sepln.org/sepln/ojs/ojs/index.php/p...

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Catalogue record

Date Deposited: 26 Nov 2012 09:52
Last Modified: 18 Dec 2019 15:34

Contributors

Author: Yan Xu
Author: Michael Oakes

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing > Information Systems

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