Support vector machines for query-focused summarization trained and evaluated on pyramid data

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2007, Pages 57-60

  Fuentes, Maria ^a   Alfonseca, Enrique ^b   Rodríguez, Horacio ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SCORING; PERFORMANCE; SCORING METHODS; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 85088600752     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. T. Copeck and S. Szpakowicz. 2005. Leveraging pyramids. In Proc. DUC-2005, Vancouver, Canada.
2. Hal Daumé III and Daniel Marcu. 2005. Bayesian summarization at DUC and a suggestion for extrinsic evaluation. In Proc. DUC-2005, Vancouver, Canada.
3. S. Fisher and B. Roark. 2006. Query-focused summarization by supervised sentence ranking and skewed word distributions. In Proc. DUC-2006, New York, USA.
4. M. Fuentes, E. Gonzàlez, D. Ferrés, and H. Rodríguez. 2005. QASUM-TALP at DUC 2005 automatically evaluated with the pyramid based metric autopan. In Proc. DUC-2005.
5. M. Fuentes, H. Rodríguez, J. Turmo, and D. Ferrés. 2006. FEMsum at DUC 2006: Semantic-based approach integrated in a flexible eclectic multitask summarizer architecture. In Proc. DUC-2006, New York, USA.
6. T. Hirao, J. Suzuki, H. Isozaki, and E. Maeda. 2003. Ntt’s multiple document summarization system for DUC2003. In Proc. DUC-2003.
7. K. Ishikawa, S. Ando, S. Doi, and A. Okumura. 2002. Trainable automatic text summarization using segmentation of sentence. In Proc. 2002 NTCIR 3 TSC workshop.
8. H. Kazawa, T. Hirao, and E. Maeda. 2002. Ranking SVM and its application to sentence selection. In Proc. 2002 Workshop on Information-Based Induction Science (IBIS-2002).
9. L.M. Manevitz and M. Yousef. 2001. One-class SVM for document classification. Journal of Machine Learning Research.
10. A. Nenkova and R. Passonneau. 2004. Evaluating content selection in summarization: The pyramid method. In Proc. HLT/NAACL 2004, Boston, USA.
11. A. Nenkova and L. Vanderwende. 2005. The impact of frequency on summarization. Technical Report MSR-TR-2005-101, Microsoft Research.
12. L. Vanderwende, H. Suzuki, and C. Brockett. 2006. Microsoft research at DUC 2006: Task-focused summarization with sentence simplification and lexical expansion. In Proc. DUC-2006, New York, USA.
13. S. Ye, L. Qiu, and T.S. Chua. 2005. NUS at DUC 2005: Understanding documents via concept links. In Proc. DUC-2005.
14. H. Yu, J. Han, and K. C-C. Chang. 2002. PEBL: Positive example-based learning for web page classification using SVM. In Proc. ACM SIGKDD International Conference on Knowledge Discovery in Databases (KDD02), New York.