Abstract
The identification of appropriate text tokens (words or sequences of words representing concepts) is one of the most important tasks of text preprocessing and may have great influence on the final results of text analysis. In our paper, we introduce a new approach to discovering compound nouns, including proper compound nouns. Our approach combines the data mining methods with shallow lexical analysis. We propose a simple pattern language for specifying grammatical patterns to be satisfied by extracted compound nouns. Our method requires annotating the words with part of speech tags, thus to this extent, it is language-dependent. Based on the data mining GSP algorithm, we propose T-GSP as its modification for extracting frequent text patterns, and in particular, frequent word sequences that satisfy given grammatical rules. The obtained sequences are regarded as candidates for compound nouns. The experiments have proven very high quality of the method.
The work has been performed within the project granted by France Telecom.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ahonen-Myka, H., Doucet, A.: Data mining meets collocations discovery. In: Inquiries into Words, Constraints, and Contexts. CSLI Studies in Computational Linguistics ONLINE. Copestake, Ann., pp. 194–203 (Series Editor)
Ahonen-Myka, H.: Discovery of frequent word sequences in text. In: The ESF Exploratory Workshop on Pattern Detection and Discovery in Data Mining, Imperial College, London (2002)
Biemann, C., Boehm, K., Quasthoff, U., Wolff, Ch.: Automatic Discovery and Aggregation of Compound Names for the use in Knowledge Representation. J. of Universal Comp. Sci. 9(6), 530–541 (2003)
Bourigault, D.: Surface grammatical analysis for the extraction of terminological noun phrases. In: Proc. of the 14th conf. on Computational linguistics, vol. 3 (1992)
Church, K.W, Hanks, P.: Word association norms, mutual information, and lexicography. Computational Linguistics 16(1), 22–29 (1990)
Dias, G., Guilloré, S., Bassano, J.C., Pereira Lopes, J.G.: Combining linguistics with statistics for multiword termextraction: A fruitful association? In: Proc. Recherche d’Informations Assistee par Ordinateur (2000)
Dias, G.: Multiword unit hybrid extraction. In: Proc. of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment 18 (2003)
Nerima, L., Seretan, V., Wehrli, E.: Creating a Multilingual Collocation Dictionary from Large Text Corpora. In: 10th Conf. of EACL’03, Budapest (2003)
Pearce, D.: Synonymy in collocation extraction. In: NAACL 2001 Workshop: WordNet and Other Lexical Resources: Applications, Extensions and Customizations, Carnegie Mellon University, Pittsburgh (2001)
Pearce, D.: A comparative evaluation of collocation extraction techniques. In: Proc. 3rd Language Resources Evaluation Conf. (2002)
Sag, I.A., Baldwin, T., Bond, F., Copestake, A., Flickinger, D.: Multiword Expressions: A Pain in the Neck for NLP. In: Proc. of 3rd Int’l Conf. Intell. Text Proc. and Comp. Linguistics, Mexico City (2002)
Schone, P., Jurafsky, D.: Is knowledge-free induction of multiword unit dictionary headwords a solved problem? In: Proc. Conf. on Empirical Methods in Nat. Language Proc., pp. 100–108 (2001)
Seretan, V., Nerima, L., Wehrli, E.: Extraction of multi-word collocations using syntactic bigram composition. In: Proc. 4th Int’l Conf. on Recent Advances in NLP, Borovets, pp. 424–431 (2003)
Shimohata, S., Sugio, T., Nagata, J.: Retrieving collocations by co-occurrences and word order constraints. In: 35th Conf. of the ACL, Madrid, pp. 476–481 (1997)
Smadja, F.: Retrieving Collocations from Text. Xtract. Comp. Linguistics 19(1), 143–177 (1993)
Srikant, R., Agrawal, R.: Mining Sequential Patterns: Generalizations And Performance Improvements. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, Springer, Heidelberg (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Protaziuk, G., Kryszkiewicz, M., Rybinski, H., Delteil, A. (2007). Discovering Compound and Proper Nouns. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds) Rough Sets and Intelligent Systems Paradigms. RSEISP 2007. Lecture Notes in Computer Science(), vol 4585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73451-2_53
Download citation
DOI: https://doi.org/10.1007/978-3-540-73451-2_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73450-5
Online ISBN: 978-3-540-73451-2
eBook Packages: Computer ScienceComputer Science (R0)