Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 307-314

  Wang, Dingding ^a   Li, Tao ^a   Zhu, Shenghuo ^b   Ding, Chris ^c  

^a Florida International University   (United States)

^b NEC LABORATORIES AMERICA   (United States)

^c UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

Multi document summarization; Sentence level semantic analysis; Symmetric non negative matrix factorization

Indexed keywords

DATA SETS; MACHINE LEARNING TECHNIQUES; MULTI DOCUMENTS; MULTI-DOCUMENT SUMMARIZATION; NON-NEGATIVE MATRIX FACTORIZATIONS; SEMANTIC ANALYSES; SENTENCE SIMILARITIES; SENTENCE-LEVEL SEMANTIC ANALYSIS; SIMILARITY MATRIXES; SPECTRAL CLUSTERING; SUMMARIZATION SYSTEMS; SYMMETRIC MATRIXES; SYMMETRIC NON-NEGATIVE MATRIX FACTORIZATION; USE STATISTICS;

BLIND SOURCE SEPARATION; INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS; LIGHT MEASUREMENT; NATURAL LANGUAGE PROCESSING SYSTEMS; RESEARCH AND DEVELOPMENT MANAGEMENT; SEMANTICS;

FACTORIZATION;

EID: 57349111750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390387     Document Type: Conference Paper

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