JOURNAL ARTICLE

Exploiting relevance, coverage, and novelty for query-focused multi-document summarization

Wenjuan LuoFuzhen ZhuangQing HeZhongzhi Shi

Year: 2013 Journal:   Knowledge-Based Systems Vol: 46 Pages: 33-42   Publisher: Elsevier BV
Keywords:
Automatic summarization Relevance (law) Computer science Novelty Information retrieval Multi-document summarization Exploit Topic model Ranking (information retrieval) Probabilistic logic Data mining Artificial intelligence

Metrics

34
Cited By
3.30
FWCI (Field Weighted Citation Impact)
58
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems
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