Automatic text summarization of newswire: Lessons learned from the document understanding conference

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2005, Pages 1436-1441

  Nenkova, Ani ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TEXT SUMMARIZATION; INDEPENDENT VARIABLES; MULTI-DOCUMENT SUMMARIZATION; NEWSWIRE;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; RESEARCH; TECHNICAL PRESENTATIONS;

TEXT PROCESSING;

EID: 29344443860     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Barzilay, R., and Lee, L. 2004. Catching the drift: probabilistic content models, with applications to generation and summarization. In Proceedings of NAACL-HLT'04.
2. Harman, D., and Over, P. 2004. The effects of human variation in due summarization evaluation. In Text summarization branches out workshop at ACL'2004.
3. Nenkova, A., and Passonneau, R. 2004. Evaluating content selection in summarization: The pyramid method. In Proceedings of HLT/NAACL 2004.
4. Sparck-Jones, K. 1998. Automatic summarizing: factors and directions. In Advances in automatic text summarization, eds. Mani and Maybury.