Exploring actor–object relationships for query-focused multi-document summarization

Most research on multi-document summarization explores methods that generate summaries based on queries regardless of the users’ preferences. We note that, different users can generate somewhat different summaries on the basis of the same source data and query. This paper presents our study on how t...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 19; H. 11; S. 3109 - 3121
Hauptverfasser:	Valizadeh, Mohammadreza, Brazdil, Pavel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2015 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Boolean Computational Intelligence Control Datasets Decision trees Documents Engineering Machine learning Mathematical Logic and Foundations Mechatronics Methodologies and Application Neural networks Queries Robotics Summaries Actor–object relationship Multi-document summarization Ensemble summarizing system User-based summarization Training data construction
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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