Sentence ordering with manifold-based classification in multi-document summarization

COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2006, Pages 526-533

  Ji, Paul D ^a   Pulman, Stephen ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

LABELED DATA; MANIFOLD STRUCTURES; MULTI-DOCUMENT SUMMARIZATION; ORDERING STRATEGY; SEMI-SUPERVISED; SENTENCE CLASSIFICATIONS; SENTENCE ORDERING;

INFORMATION RETRIEVAL SYSTEMS;

EID: 80053357082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1610075.1610148     Document Type: Conference Paper

References (12)

1. Barzilay, R N. Elhadad, and K. McKeown. 2002. Inferring strategies for sentence ordering in multidocument news summarization. Journal of Artificial Intelligence Research, 17:35-55.
2. Bollegala D. Okazaki, N. Ishizuka, M. 2005. A Machine Learning Approach to Sentence Ordering for Multidocument Summarization, in Proceedings of IJCNLP.
3. Dash M. and H. Liu, (2000) Unsupervised feature selection, proceedings of PAKDD.
4. Filatova, E. & Hovy, E. (2001) Assigning time-stamps to event-clauses. In Proceedings of AACL/EACL workshop on Temporal and Spatial Information Processing.
5. Lapata, M. 2003. Probabilistic text structuring: Experiments with sentence ordering. In Proceedings of the annual meeting of ACL 545-552.
6. Lin, J. 1991. Divergence Measures Based on the Shannon Entropy. IEEE Transactions on Information Theory, 37:1, 145-150.
7. McKeown K., Barzilay R. Evans D., Hatzivassiloglou V., Kan M., Schiffman B., &Teufel, S. (2001). Columbia multi-document summarization: Approach and evaluation. In Proceedings of DUC.
8. Reiter, Ehud and Robert Dale. 2000. Building Natural Language Generation Systems. Cambridge University Press, Cambridge.
9. Szummer M. and T. Jaakkola. (2001) Partially labeled classification with markov random walks. NIPS14.
10. Tishby, N, Slonim, N. (2000) Data clustering by Markovian relaxation and the Information Bottleneck Method. NIPS 13.
11. Zhu, X., Ghahramani, Z., & Lafferty, J. (2003) Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML-2003.
12. Zhou D., Bousquet, O., Lal, T.N., Weston J. & Schokopf B. (2003). Learning with local and Global Consistency. NIPS 16. pp: 321-328.