Hierarchical, perceptron-like learning for ontology-based information extraction

16th International World Wide Web Conference, WWW2007

Volumn , Issue , 2007, Pages 777-786

  Li, Yaoyong ^a   Bontcheva, Kalina ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Hierarchical learning; Ontology based information extraction; Semantic annotation

Indexed keywords

HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; ONTOLOGY; PARAMETER EXTRACTION; SEMANTICS;

HIERARCHICAL LEARNING; INFORMATION EXTRACTION; SEMANTIC ANNOTATION;

INFORMATION RETRIEVAL;

EID: 35348895042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1242572.1242677     Document Type: Conference Paper

References (25)

1. M. E. Califf. Relational Learning Techniques for Natural Language Information Extraction. PhD thesis, University of Texas at Austin, 1998.
2. N. CesarBianchi, C. Gentile, A. Tironi, and L. Zaniboni. Incremental Algorithms for Hierarchical Classification. In Neural Information Processing Systems, 2004.
3. H. L. Chieu and H. T. Ng. A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text. In Proceedings of the Eighteenth National Conference on Artificial Intelligence, pages 786-791, 2002.
4. N. Chinchor. Muc-4 evaluation metrics. In Proceedings of the Fourth Message Understanding Conference, pages 22-29, 1992.
5. P. Cimiano, S. Handschuh, and S. Staab. Towards the Self-Annotating Web. In Proceedings of WWW'04, 2004.
6. F. Ciravegna and Y. Wilks. Designing Adaptive Information Extraction for the Semantic Web in Amilcare. In S. Handschuh and S. Staab, editors, Annotation for the Semantic Web. IOS Press, Amsterdam, 2003.
7. H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan. GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. In Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL'02), 2002.
8. O. Dekel, J. Keshet, and Y. Singer. Large Margin Hierarchical Classification. In Proceedings of the 21st International Conference on Machine Learning (ICML-2004), Canada, 2004.
9. th International Conference on World Wide Web (WWW2003), pages 178-186, Budapest, Hungary, May 2003.
10. J. Domingue, M. Dzbor, and E. Motta,. Magpie: Supporting Browsing and Navigation on the Semantic Web. In N. Nunes and C. Rich, editors, Proceedings ACM Conference on Intelligent User Interfaces (IUI), pages 191-197, 2004.
11. D. Freigtag and A. K. McCallum. Information Extraction with HMMs and Shrinkage. In Proceesings of Workshop on Machine Learnig for Information Extraction, pages 31-36, 1999.
12. D. Freitag. Machine Learning for Information Extraction in Informal Domains. Machine Learning, 39(2/3):169-202, 2000.
13. D. Freitag and N. Kushmerick. Boosted Wrapper Induction. In Proceedings of AAAI 2000, 2000.
14. S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM - Semi-automatic CREAtion of Metadata. In 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW02), pages 358-372, Siguenza, Spain, 2002.
15. A. Kiryakov, B. Popov, D. Ognyanoff, D. Manov, A. Kirilov, and M. Goranov. Semantic annotation, indexing and retrieval. Journal of Web Semantics, ISWC 2003 Special Issue, 1(2):671-680, 2004.
16. P. Kogut and W. Holmes. AeroDAML: Applying Information Extraction to Generate DAML Annotations from Web Pages. In First International Conference on Knowledge Capture (K-CAP 2001), Workshop on Knowledge Markup and Semantic Annotation, Victoria, B.C., 2001.
17. Y. Li, K. Bontcheva, and H. Cunningham. Using Uneven Margins SVM and Perception for Information Extraction. In Proceedings of Ninth Conference on Computational Natural Language Learning (CoNLL-2005), 2005.
18. Y. Li, H. Zaragoza, R. Herbrich, J. Shawe-Taylor, and J. Kandola. The Perceptron Algorithm with Uneven Margins. In Proceedings of the 9th International Conference on Machine Learning (ICML-2002), pages 379-386, 2002.
19. D. Maynard, W. Peters, and Y. Li. Metrics for evaluation of ontology-based information extraction. In WWW 2006 Workshop on "Evaluation of Ontologies for the Web" (EON), Edinburgh, Scotland, 2006.
20. L. K. McDowell and M. Cafarella. Ontology-Driven Information Extraction with OntoSyphon. In 5th Internal Semantic Web Conference (ISWC06). Springer, 2006.
21. E. Motta, M. Vargas-Vera, J. Domingue, M. Lanzoni, A. Stutt, and F. Ciravegna. MnM: Ontology Driven Semi-Automatic and Automatic Support for Semantic Markup. In 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW02), pages 379-391, Siguenza, Spain, 2002.
22. J. Perna and A. Spector. Introduction to the Special Issue on Unstructured Information Management. IBM Systems Journal, 43(3), 2004.
23. P. Resnik. Using information content to evaluate semantic similarity in a taxonomy. In Proc. of 14th International Joint Conference on Artificial Intelligence, pages 448-453, Montreal, Canada, 1995.
24. D. Roth and W. T. Yih. Relational Learning via Propositional Algorithms: An Information Extraction Case Study. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI), pages 1257-1263, 2001.
25. J. Rousu, C. Saunders, S. Szedmak, and J. Shawe-Taylor. Learning Hierarchical Multi-Category Text Classification Models. Journal of Machine Learning Research, 7:1601-1626, 2006.