JOURNAL ARTICLE

A multiple-document summarization system with user interaction

Abstract

We propose a multiple-document summarization system with user interaction.Our system extracts keywords from sets of documents to be summarized and shows the keywords to a user on the screen.Among them, the user selects some keywords reflecting his/her needs.Our system controls the produced summary by using these selected keywords.For evaluation of our method, we participated in TSC3 of NTCIR4 workshop by letting our system select 12 best keywords regarding scoring by the system.Our participated system attained the best performance in content evaluation among systems not using sets of questions.Moreover, we evaluated effectiveness of user interaction in our system.With user interaction, our system attained both higher coverage and precision than that without user interaction.

Keywords:
Automatic summarization Computer science Multi-document summarization Information retrieval User requirements document Scoring system Human–computer interaction World Wide Web Software engineering

Metrics

9
Cited By
0.00
FWCI (Field Weighted Citation Impact)
17
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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