Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 704-705

  Amini, Massih R ^a   Usunier, Nicolas ^b  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b SORBONNE UNIVERSITÉ   (France)

Author keywords

Learning to rank; Multi document summarization

Indexed keywords

DOCUMENT COLLECTION; INCORPORATING PRIOR KNOWLEDGE; LEARNING TO RANK; MULTI-DOCUMENT SUMMARIZATION; RANKING ALGORITHM; RANKING FUNCTIONS; STOPPING CRITERIA;

INFORMATION SERVICES; LOCOMOTIVES; RAILROAD CARS;

INFORMATION RETRIEVAL;

EID: 72449128595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572087     Document Type: Conference Paper

References (4)

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3. R. Reichart and A. Rappoport, Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets. In Proceedings of ACL, pages 616-623, 2007.
4. Robert E. Schapire and Marie Rochery and Mazin Rahim and Narendra Gupta, Incorporating Prior Knowledge into Boosting. In Proceedings of ICML, pages 538-545, 2002.