Sequential supervised learning for hypernym discovery from Wikipedia

Communications in Computer and Information Science

Volumn 128 CCIS, Issue , 2011, Pages 68-80

  Litz, Berenike ^a   Langer, Hagen ^a   Malaka, Rainer ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

Hidden Markov models; Hypernym discovery; Information extraction; Sequential supervised learning; Syntactic semantic tagging

Indexed keywords

GOLD STANDARDS; HYPERNYM DISCOVERY; HYPERNYMIC; INFORMATION EXTRACTION; LEXICO-SYNTACTIC PATTERNS; ONLINE ENCYCLOPEDIA; SEMANTIC INFORMATION; SEQUENTIAL SUPERVISED LEARNING; TRAINING DATA; WIKIPEDIA;

INFORMATION ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE ENGINEERING; KNOWLEDGE MANAGEMENT; ONTOLOGY; SEMANTICS; SUPERVISED LEARNING; SYNTACTICS;

HIDDEN MARKOV MODELS;

EID: 79952931566     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19032-2_5     Document Type: Conference Paper

References (17)

1. Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the Conference on Computational Linguistics (COLING), Nantes, France (1992)
2. Caraballo, S.A.: Automatic construction of a hypernym-labeled noun hierarchy from text. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, Morristown, NJ, USA, Association for Computational Linguistics, pp. 120-126 (1999)
3. Kliegr, T., Chandramouli, K., Nemrava, J., Svatek, V., Izquierdo, E.: Combining image captions and visual analysis for image concept classification. In: Proceedings of the 9th International Workshop on Multimedia Data Mining (MDM), pp. 8-17. ACM, New York (2008)
4. Kozareva, Z., Riloff, E., Hovy, E.: Semantic class learning from the web with hyponym pattern linkage graphs. In: Proceedings of the Annual Meeting on Association for Computational Linguistics (ACL), Columbus, Ohio, Association for Computational Linguistics, pp. 1048-1056 (June 2008)
5. Snow, R., Jurafsky, D., Ng, A.Y.: Semantic taxonomy induction from heterogenous evidence. In: Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Sydney, Australia, Association for Computational Linguistics, pp. 801-808 (July 2006)
6. Kliegr, T., Chandramouli, K., Nemrava, J., Svatek, V., Izquierdo, E.: Wikipedia as the premiere source for targeted hypernym discovery. In: Proceedings of the Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 Workshop co-located with the 18th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2008)
7. Kazama, J., Torisawa, K.: Exploiting wikipedia as external knowledge for named entity recognition. In: Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 698-707 (2007)
8. Tufis, D., Mason, O.: Tagging romanian texts: a case study for qtag, a language independent probabilistic tagger. In: Proceedings of the 1st International Conference of Language Resources and Evaluation (LREC), Granada, Spain (1998)
9. Brants, T.: TnT - A statistical Part-of-Speech tagger. In: Proceedings of the Sixth Conference on Applied Natural Language Processing (ANLP), Seattle,Washington, pp. 224-231 (2000)
10. Schmidt, H.: Probabilistic part-of-speech tagging using decision trees. In: Proceedings of the International Conference on New Methods in Language Processing (NeMLaP), Manchester, U.K., pp. 14-16 (September 1994)
11. Toutanova, K.,Manning, C.D.: Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In: Proceedings of the 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, Morristown, NJ, USA, Association for Computational Linguistics, pp. 63-70 (2000)
12. Loos, B., Porzel, R.: Resolution of lexical ambiguities in spoken dialogue systems. In: Proceedings of the 5th SIGdial Workshop on Discourse and Dialogue (SIGdial), Morristown, NJ, USA, Association for Computational Linguistics (2004)
13. Samuelsson, C.: Morphological tagging based entirely on bayesian inference. In: Eklund, R. (ed.) Proceedings of the 9th Scandinavian Conference on Computational Linguistics, Stockholm, Sweden, pp. 225-238 (1994)
14. Abney, S.: Bootstrapping. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Morristown, NJ, USA, Association for Computational Linguistics, pp. 360-367 (2002)
15. Van Rijsbergen, C.J.K.: Information Retrieval, 2nd edn., Dept. of Computer Science, University of Glasgow (1979), doi:Van Rijsbergen, C.J.K
16. Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proceedings of International Conference on Machine Learning (ICML), pp. 282-289 (2001)
17. Loos, B., Biemann, C.: Supporting web-based address extraction with unsupervised tagging. In: Bock, H.H., Gaul, W., Vichi, M. (eds.) Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Heidelberg (2007)