Abstract
We describe a method to acquire a distribution of the concepts of adjectives automatically by using a self-organizing map and a directional similarity measure. A means of evaluating concept hierarchies of adjectives extracted automatically from corpora is elucidated. We used Scheffe’s method of paired comparison to test experimentally the validity of hierarchies thus obtained with human intuition and found that our method was effective for 43% of the hierarchies considered.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Berland, M., Charniak, E.: Finding Parts in Very Large Corpora. In: Proceedings of 38th Annual Meetings of the Association for Computational Linguistics (ACL), pp. 57–64 (2000)
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 (ACL), pp. 120–126 (1999)
Cruse, D.A.: Lexical Semantics. Cambridge University Press, Cambridge (1986)
Cruse, D.A., Hundsnurscher, F., Job, M., Lutzeier, P.R.: Lexicology, An international handbook on the nature and structure of words and vocabularies. Walter de Gruyter (2002)
Hagita, N., Sawaki, M.: Robust Recognition of Degraded Machine-Printed Characters Using Complimentary Similarity Measure and Error-Correction Learning. In: The Proceedings of the SPIE –The International Society for Optical Engineering, vol. 2442, pp. 236–244 (1995)
Hatzivassiloglou, V., McKeown, K.R.: Towards the Automatic Identification of Adjectival Scales: Clustering Adjectives According to Meaning. In: Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics (ACL), pp. 172–182 (1993)
Hearst, M.A.: Automatic Acquisition of Hyponyms from Large Text Corpora. In: Proceedings of 14th International Conference on Computational Linguistics (COLING), pp. 539–545 (1992)
Hindle, D.: Noun Classification from Predicate-Argument Structures. In: Proceedings of the 28th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 268–275 (1990)
Kohonen, T.: Self-Organizing Maps. Springer, Berlin (1995)
Lin, D., Pantel, P.: Concept Discovery from Text. In: Proceedings of 19th International Conference on Computational Linguistics (COLING), pp. 768–774 (2002)
Manning, C.D., Shütze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)
Pantel, P., Ravichandran, D.: Automatically Labeling Semantic Classes. In: Proceedings of Human Language Technology/North American Chapter of the Association for Computational Linguistics (HLT/NAACL), pp. 321–328 (2004)
Ma, Q., Kanzaki, K., Zhang, Y., Murata, M., Isahara, H.: Self-organizing semantic maps and its application to word alignment in Japanese-Chinese parallel corpora. Journal of Neural Networks, The Official Journal of the International Neural Network Society, European Neural Network Society, and Japanese Neural Network Society, Elsevier, 1241–1253 (2004)
Research Committee of Sensory Evaluation Union of Japanese Scientists and Engineers: Sensory Evaluation Handbook. JUSE Press Ltd. (1973) (in Japanese)
Scheffe, H.: An analysis of variance for paired comparison. Journal of the American Statistical Association 47, 381–400 (1952)
Schulte im Walde, S., Brew, C.: Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation Information. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 223–230 (2002)
Takahashi, T.: Various Phases Related to the Part-Whole Relationship Investigated in the Sentence, Studies in the Japanese language 103, The Society of Japanese Linguistics, pp. 1–16 (1975) (in Japanese)
Yamamoto, E., Umemura, K.: A Similarity Measure for Estimation of One-to-Many Relationship in Corpus. Journal of Natural Language Processing, 45–75 (2002) (in Japanese)
Yamamoto, E., Kanzaki, K., Isahara, H.: Extraction of Hierarchies Based on Inclusion of Co-occurring Words with Frequency Information. In: Proceedings of 19th International Joint Conference on Artificial Intelligence (IJCAI), pp. 1166–1172 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kanzaki, K., Ma, Q., Yamamoto, E., Shirado, T., Isahara, H. (2006). Acquiring Concept Hierarchies of Adjectives from Corpora. In: Matsumoto, Y., Sproat, R.W., Wong, KF., Zhang, M. (eds) Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead. ICCPOL 2006. Lecture Notes in Computer Science(), vol 4285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11940098_45
Download citation
DOI: https://doi.org/10.1007/11940098_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49667-0
Online ISBN: 978-3-540-49668-7
eBook Packages: Computer ScienceComputer Science (R0)