Abstract
This paper describes a method for extracting hyponyms from free text. In particular it explores two main matters. On the one hand, the possibility of reaching favorable results using only lexical extraction patterns. On the other hand, the usefulness of measuring the instance’s confidences based on the pattern’s confidences, and vice versa. Experimental results are encouraging because they show that the proposed method can be a practical high-precision approach for extracting hyponyms for a given set of concepts.
Work done under partial support of CONACYT (project grants 43990 and 61335).
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References
Blohm, S., Cimiano, P.: Learning Patterns from the Web - Evaluating the Evaluation Functions - Extended Abstract. In: OTT 2006. Ontologies in Text Technology: Approaches to Extract Semantic KnowledInformation, Osnabrück, Germany (2006)
Denicia, C., Montes, M., Villaseñor, L., García, R.: A Text Mining Approach for Definition Question Answering. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds.) FinTAL 2006. LNCS (LNAI), vol. 4139, Springer, Heidelberg (2006)
García-Hernández, R., Martínez-Trinidad, F., Carrasco-Ochoa, A.: A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection. In: International Conference on Computational Linguistics and text Processing, CICLing-2006. Mexico City, Mexico (2006)
Gelbukh, A., Sidorov, G.: Procesamiento automático del español con enfoque en recursos léxicos grandes. In: IPN, p. 240 (2006)
Hearst, M.: Automatic acquisition of hyponyms from large text corpora. In: Conference on Computational Linguistics (COLING-1992), Nantes, France (1992)
Lin, D., Zhao, S., Qin, L., Zhou, M.: Identifying synonyms among distributionally similar words. In: International Joint Conference of Artificial Intelligence (IJCAI-2003). Acapulco, Mexico (2003)
Lucero, C., Pinto, D., Jiménez, H.: A Tool for Automatic Detection of Antonymy Relations. In: Workshop on Herramientas y Recursos Linguísticos para el Español y el Portugués. IBERAMIA-2004. Puebla, Mexico (2004)
Mann, G.S.: Fine-Grained Proper Noun Ontologies for Question Answering. SemaNet-02: Building and Using Semantic Networks. Taipei, Taiwan (2002)
Pantel, P., Pennacchiotti, M.: Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations. In: Conference on Computational Linguistics/Association for Computational Linguistics (COLING/ACL-2006), Sydney, Australia (2006)
Ravichandran, D., Pantel, P., Hovy, E.: The Terascale Challenge. In: Proceedings of KDD Workshop on Mining for and from the Semantic Web. Seattle, WA, USA (2004)
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Ortega-Mendoza, R.M., Villaseñor-Pineda, L., Montes-y-Gómez, M. (2007). Using Lexical Patterns for Extracting Hyponyms from the Web. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_86
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DOI: https://doi.org/10.1007/978-3-540-76631-5_86
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