Abstract
This paper shows how the knowledge of a semantic interpreter can be bootstrapped for other semantic interpretation tasks. Methods are described for automatically acquiring common sense knowledge and for applying this knowledge to noun sense disambiguation. Ordinary concepts are described by several plain English sentences that are parsed and semantically interpreted. The semantic interpreted sentences are stored under these concepts to be used for semantic interpretation tasks. This paper explains the description of the concepts, the interpretation of the sentences and two algorithms for noun sense disambiguation that use the acquired knowledge.
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References
Fellbaum, C.: English Verbs as a Semantic Net. In: Fellbaum, C. (ed.) WordNet: An electronic Lexical Database and some of its applications, pp. 69–104. MIT Press, Cambridge (1998)
Gomez, F.: Building verb predicates: A computational view. In: Proceedings of the 42nd Meeting of the Association for Computational Linguistics, ACL 2004, Barcelona, Spain, pp. 351–358 (2004)
Gomez, F.: Semantic Interpretation and the Upper-Level Ontology of WordNet. Journal of Intelligent Systems 16(2), 93–116 (2007)
Gomez, F.: An algorithm for aspects of semantic interpretation using an enhanced wordnet. In: Proceedings of the 2nd North American Meeting of the North American Association for Computational Linguistics, pp. 87–94 (2001)
Hahn, U., Marko, K.G.: An integrated dual learner for grammars and ontologies. Data & Knowledge Engineering 42, 273–291 (2003)
Lesk, M.: Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone. In: Proceedings of the 1986 ACM SIGDOC Conference, Toronto, pp. 24–26 (1986)
Liu, H., Singh, P.: ConceptNet - a practical commonsense reasoning tool-kit. BT Technology Journal 22, 211–226 (2004)
Mihalcea, R.: Knowledge-based methods. In: Agirre, E., Edmonds., P. (eds.) Word Sense Disambiguation, pp. 107–127. Springer, Heidelberg (2006)
Mihalcea, R., Moldovan, D.: A method for word sense disambiguation of unrestricted texts. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics, College Park, Maryland, pp. 152–158 (1999)
Miller, G.: Nouns in wordnet. In: Fellbaum, C. (ed.) WordNet: An electronic Lexical Database and some of its applications, pp. 23–46. MIT Press, Cambridge (1998)
Moldovan, D., Russ, V.: Logic form transformation of wordnet and its applicability to question answering. In: Proceedings of the 39th meeting of the ACL, Toulouse, France, pp. 402–409 (2001)
Quillian, M.: Semantic memory. In: Minsky, M. (ed.) Semantic Information Processing, pp. 216–270. MIT Press, Cambridge, Mass (1968)
Quine, V.: Word and Object. MIT Press, Cambridge (1960)
Resnik, P.: Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research 11, 95–130 (1999)
Wittgenstein, L.: Philosophical Investigations. Blackwell, Oxford (1958)
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Gomez, F. (2008). The Acquisition of Common Sense Knowledge by Being Told: An Application of NLP to Itself. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_6
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DOI: https://doi.org/10.1007/978-3-540-69858-6_6
Publisher Name: Springer, Berlin, Heidelberg
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