Generic text summarization using relevance measure and latent semantic analysis

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue , 2001, Pages 19-25

  Gong, Y ^a   Liu, X ^a  

^a NEC Corporation of America   (United States)

Author keywords

Generic Text Summarization; Latent Semantic Analysis; Relevance Measure

Indexed keywords

INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; QUERY LANGUAGES; SEMANTICS; STATISTICAL METHODS;

LATENT SEMANTIC ANALYSIS;

TEXT PROCESSING;

EID: 0034795521     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: 10.1145/383952.383955     Document Type: Conference Paper

References (11)

1. Accurate user directed summarization from existing tools
2. Dynamic coreference-based summarization
3. Using lexical chains for text summarization
4. The smart/empire tipster ir system
5. Summarizing text documents: Sentence selection and evaluation metrics
6. Automated text summarization in summarist
7. Indexing by latent semantic analysis
8. Tipster/summac summarization analysis participant results