2009 | OriginalPaper | Buchkapitel
A Gradual Combination of Features for Building Automatic Summarisation Systems
verfasst von : Elena Lloret, Manuel Palomar
Erschienen in: Text, Speech and Dialogue
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper presents a Text Summarisation approach, which combines three different features (Word frequency, Textual Entailment, and The Code Quantity Principle) in order to produce extracts from newswire documents in English. Experiments shown that the proposed combination is appropriate for generating summaries, improving the system’s performance by 10% over the best DUC 2002 participant. Moreover, a preliminary analysis of the suitability of these features for domain-independent documents has been addressed obtaining encouraging results, as well.