JOURNAL ARTICLE

Unsupervised Query-Focused Multi-Document Summarization using the Cross Entropy Method

Abstract

We present a novel unsupervised query-focused multi-document summarization approach. To this end, we generate a summary by extracting a subset of sentences using the Cross-Entropy (CE) Method. The proposed approach is generic and requires no domain knowledge. Using an evaluation over DUC 2005-2007 datasets with several other state-of-the-art baseline methods, we demonstrate that, our approach is both effective and efficient.

Keywords:
Automatic summarization Computer science Entropy (arrow of time) Cross entropy Artificial intelligence Principle of maximum entropy Information retrieval Data mining

Metrics

63
Cited By
4.81
FWCI (Field Weighted Citation Impact)
15
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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