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On the semantics of noun compounds

Published: 01 October 2005 Publication History

Abstract

This paper provides new insights on the semantic characteristics of two and three noun compounds. An analysis is performed using two sets of semantic classification categories: a list of 8 prepositional paraphrases previously proposed by Lauer [Designing statistical language learners: experiments on noun compounds, Ph.D. Thesis, Macquarie University, Australia] and a new set of 35 semantic relations introduced by us. We show the distribution of these semantic categories on a corpus of noun compounds and present several models for the bracketing and the semantic classification of noun compounds. The results are compared against state-of-the-art models reported in the literature.

References

[1]
Brill, E., Resnik, P., 1994. A rule-based approach to PP attachment disambiguation. In: Proceedings of the International Conference on Computational Linguistics (COLING), Japan, pp. 1198-1204.
[2]
Charniak, E., 2000. A maximum-entropy-inspired parser. In: Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), Seattle, WA, pp. 132-139.
[3]
On the creation and use of English compound nouns. Language. v53 i4. 810-842.
[4]
Finin, T., 1980. The semantic interpretation of compound nominals. Ph.D. Dissertation, University of Illinois at Urbana-Champaign.
[5]
Automatic labeling of semantic roles. Computational Linguistics. v28 i3. 245-288.
[6]
Girju, R., Badulescu, A., Moldovan, D., 2003. Learning semantic constraints for the automatic discovery of part-whole relations. In: Proceedings of HLT, Boston, pp. 80-87.
[7]
Jespersen, O., 1954. A modern English grammar on historical principles. In: G. Alien, Unwin Ltd. (Eds.), London, pp. 1909-1949.
[8]
Lapata, M., Keller, F., 2004. The Web as a baseline: evaluating the performance of unsupervised Web-based models for a range of NLP tasks. In: Proceedings of the Human Language Technology conference (HLT/NAACL), Boston, MA, pp. 121-128.
[9]
Lauer, M., 1995. Designing statistical language learners: experiments on noun compounds. Ph.D. Thesis, Macquarie University, Australia.
[10]
The syntax and semantics of complex nominals. Academic Press, New York.
[11]
Macleod, C., Grishman, R., Meyers, A., Barrett, L., Reeves, R., 1998. Nomlex: a lexicon of nominalizations. In: Proceedings of the 8th International Congress of the European Association for Lexicography, Liege, Belgium, pp. 187-193.
[12]
Moldovan, D., Girju, R., 2003. Knowledge discovery from text. In: The Tutorial Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL), Sapporo, Japan.
[13]
Moldovan, D., Badulescu, A., Tatu, M., Antohe, D., Girju, R., 2004. Models for the semantic classification of non-nominalized noun phrases. In: Proceedings of the HLT Computational Lexical Semantics work shop, Boston, MA, pp. 60-67.
[14]
Resnik, P., 1993. Selection and information: a class-based approach to lexical relationships. Ph.D. Dissertation, Department of Computer and Information Science, University of Pennsylvania, MA, pp. 60-67.
[15]
Selectional constraints: an information-theoretic model and its computational realization. Cognition. i61. 127-159.
[16]
Rosario, B., Hearst, M., 2001. Classifying the semantic relations in noun compounds via a domain-specific lexical hierarchy. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Pittsburgh, PA, pp. 82-90.
[17]
The syntax of words. MIT Press, Cambridge.
[18]
Non parametric statistics for the behavioral science. McGraw-Hill, New York.
[19]
Vanderwende, L., 1995. The analysis of noun sequences using semantic information extracted from on-line dictionaries. Ph.D. Dissertation, Georgetown University.

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Published In

cover image Computer Speech and Language
Computer Speech and Language  Volume 19, Issue 4
October, 2005
183 pages

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Academic Press Ltd.

United Kingdom

Publication History

Published: 01 October 2005

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  • (2012)Discovering semantic relations using prepositional phrasesProceedings of the 20th international conference on Foundations of Intelligent Systems10.1007/978-3-642-34624-8_18(149-154)Online publication date: 4-Dec-2012
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