Hierarchical semantic classification: Word sense disambiguation with world knowledge

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2003, Pages 817-822

  Ciaramita, Massimiliano ^a   Hofmann, Thomas ^a   Johnson, Mark ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ENCODING; HIERARCHICAL CLASSIFIERS; HIERARCHICAL LEARNING; LEARNING ARCHITECTURES; LEXICAL SEMANTICS; SEMANTIC CLASSIFICATION; WORD SENSE DISAMBIGUATION; WORLD KNOWLEDGE;

ARTIFICIAL INTELLIGENCE; SEMANTICS;

CLASSIFICATION (OF INFORMATION);

EID: 52949105983     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. E. Charniak. A Maximum-Entropy-Inspircd Parser. In Proceedings of the 1st Meeting of the North American Chapter of the Association for Computational Linguistics, NAACL-00, 2000.
2. M. Ciaramita. Boosting Automatic Lexical Acquisition with Morphological Information. In Proceedings of the Workshop on Unsupervised Lexical Acquisition, ACL-02, 2002.
3. S. Clark and D. Weir. Class-Based Probability Estimation using a Semantic Hierarchy. Computational Linguistics, 28, 2002.
4. M. Collins. Ranking Algorithms for Named-Entity Hxtraction: Boosting and the Voted Perceptron. In Proceedings of the 40th Meeting of the Association for Computational Linguistics, ACL-02, 2002.
5. K. Crammer and Y. Singer. Ultracon-scrvative On line Algorithms for Multiclass Problems. Technical Report [2001-18], School of Computer Science and Engineering, Hebrew University, Jerusalem, Israel, 2002.
6. S. Dumais and H. Chen. Hierarchical Classification of Web Content. In Proceedings ofSIGIR-00, 23rd ACM International Conference on Research and Development in Information Retrieval, 2000.
7. C. Fcllbaum. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, Massachusetts, 1998.
8. Y. Freund and R.E. Schapire. Large Margin Classification Using the Perceptron Algorithm. Machine Learning, 37, 1999.
9. M. Hearst. Automatic Acquisition of Hyponyms from Large Text Corpora. In Proceedings of the Nth International Conference on Computational Linguistics, 1992.
10. T. Hofmann, I. Tsochantaridis and Y Altun. Learning over Discrete Output Spaces via Joint Kernel Functions. In Advances in Neural Information Processing Systems, Workshop on Kernel Methods, 2002.
11. M. Light and W. GreitT. Statistical Models for the Induction and Use of Selectional Preferences. In Cognitive Science, 87, 2002.
12. R. Mihalcca and D.I. Moldovan. Pattern Learning and Automatic Feature Selection for Word Sense Disambiguation. In Proceedings of the Second international Workshop on Evaluating Word Sense Disambiguation Systems (SENSEVAL-2), 2001.
13. E. Riloff and R. Jones. Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping. In Proceedings of the Sixteenth National Conference on Artificial Intelligence, 1999.
14. K. Toutanova, F. Chen, K. Popat and T. Hofmann. Text Classification in a Hierarchical Mixture Model for Small Training Sets. In Proceedings of the 10th International Conference on Information and Knowledge Management, 2001.
15. K.L Yoong and T.N. Hwee. An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-2002), 2002.