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Erschienen in:
Intelligent Speech Features Mining for Robust Synthesis System Evaluation Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

A Semantic Similarity Measurement Tool for WordNet-Like Databases

verfasst von : Marek Kubis

Erschienen in: Human Language Technology. Challenges for Computer Science and Linguistics

Verlag: Springer International Publishing

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Abstract

The paper describes a new framework for computing the semantic similarity of words and concepts using WordNet-like databases. The main advantage of the presented approach is the ability to implement similarity measures as concise expressions in the embedded query language. The preliminary results of the use of the framework to model the semantic similarity of Polish nouns are reported.

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Vorheriges Kapitel Multilingual Tokenization and Part-of-speech Tagging. Lightweight Versus Heavyweight Algorithms
Nächstes Kapitel Similarity Measure for Polish Short Texts Based on Wordnet-Enhanced Bag-of-words Representation
Fußnoten
1
A joint transitive hypernym of two synsets such that no other joint transitive hypernym of these synsets is placed below it within the hypernymy hierarchy.
 
2
Databases that are organized similarly to WordNet [4], called wordnets in the rest of the paper.
 
3
Through the JWI library [5].
 
4
We assume in the following examples that all commands are invoked in the Linux shell environment.
 
5
Interested readers can consult [11].
 
6
The synsets satisfying the condition empty(hypernym).
 
7
The pair środek dnia/południe is omitted in Table 3, since środek dnia occurs in neither PlWordNet 2.2 nor in PolNet 3.0.
 
8
In the case of information content-based measures.
 
9
With the exception of Pearson’s correlation coefficient for the Jiang-Conrath measure.
 
10
Polynomial kernels of degrees 2 and 3 were considered.
 
Literatur
1.
Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python. O’Reilly Media, Sebastopol (2009)MATH
2.
Budanitsky, A., Hirst, G.: Evaluating wordnet-based measures of lexical semantic relatedness. Comput. Linguist. 32(1), 13–47 (2006)CrossRef
3.
4.
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA (1998)MATH
5.
Finlayson, M.A.: Java libraries for accessing the princeton wordnet: comparison and evaluation. In: Proceedings of the 7th Global Wordnet Conference, Tartu, Estonia, pp. 78–85 (2014)
6.
7.
Hirst, G., St-Onge, D.: Lexical chains as representations of context for the detection and correction of malapropisms, chap. 13, pp. 305–332. In: Fellbaum [4] (1998)
8.
Horak, A., Pala, K., Rambousek, A., Povolny, M.: DEBVisDic - first version of new client-server wordnet browsing and editing tool. In: Sojka, P., et al. (eds.) Proceedings of the Third International WordNet Conference - GWC 2006. Masaryk University, Brno, Czech Republic (2005)
9.
Isahara, H., Bond, F., Uchimoto, K., Utiyama, M., Kanzaki, K.: Development of the Japanese WordNet. In: Proceedings of the International Conference on Language Resources and Evaluation, LREC 2008, Marrakech, Morocco, 26 May–1 June 2008, European Language Resources Association (2008)
10.
Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of 10th International Conference on Research in Computational Linguistics, ROCLING 1997 (1997)
11.
12.
13.
Kubis, M.: A semantic similarity measurement tool for WordNet-like databases. In: Vetulani, Z., Mariani, J. (eds.) Proceedings of the 7th Language and Technology Conference, pp. 150–154. Fundacja Uniwersytetu im. Adama Mickiewicza, Poznań, Poland, November 2015
14.
Leacock, C., Chodorow, M.: Combining local context and wordnet similarity for word sense identification, chap. 11, pp. 265–283. In: Fellbaum [4] (1998)
15.
16.
Lin, D.: An information-theoretic definition of similarity. In: Proceedings of the Fifteenth International Conference on Machine Learning, ICML 1998, pp. 296–304. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1998)
17.
Maziarz, M., Piasecki, M., Szpakowicz, S.: Approaching plWordNet 2.0. In: Proceedings of the 6th Global Wordnet Conference. Matsue, Japan, January 2012
18.
19.
Miller, G.A., Charles, W.G.: Contextual correlates of semantic similarity. Lang. Cognit. Process. 6(1), 1–28 (1991)CrossRef
20.
Paliwoda-Pękosz, G., Lula, P.: Measures of semantic relatedness based on wordnet. In: International Workshop For Ph.D. Students. Brno, Czech Republic (2009). ISBN: 978-80-214-3980-1
21.
22.
Pedersen, T.: Information content measures of semantic similarity perform better without sense-tagged text. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, pp. 329–332. Association for Computational Linguistics, Stroudsburg, PA, USA (2010)
23.
24.
Postma, M., Vossen, P.: What implementation and translation teach us: the case of semantic similarity measures in wordnets. In: Orav, H., Fellbaum, C., Vossen, P. (eds.) Proceedings of the Seventh Global Wordnet Conference, Tartu, Estonia, pp. 133–141 (2014)
25.
26.
Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Trans. Syst. Man Cybern. 19(1), 17–30 (1989)CrossRef
27.
Resnik, P.: using information content to evaluate semantic similarity in a taxonomy. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence - Volume 1, IJCAI 1995, pp. 448–453. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1995)
28.
Rubenstein, H., Goodenough, J.B.: Contextual correlates of synonymy. Commun. ACM 8(10), 627–633 (1965)CrossRef
29.
30.
Soria, C., Monachini, M., Vossen, P.: Wordnet-LMF: Fleshing out a standardized format for wordnet interoperability. In: Proceeding of the 2009 international workshop on Intercultural collaboration, pp. 139–146. ACM, New York, USA (2009)
31.
Stevenson, M., Greenwood, M.A.: A semantic approach to IE pattern induction. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, ACL 2005, pp. 379–386. Association for Computational Linguistics, Stroudsburg, PA, USA (2005)
32.
Tengi, R.I.: Design and Implementation of the WordNet Lexical Database and Searching Software, chap. 4, pp. 105–127. In: Fellbaum [4] (1998)
33.
34.
35.
Vetulani, Z., Kubis, M., Obrębski, T.: PolNet - Polish WordNet: Data and Tools. In: Calzolari, N., et al. (eds.) Proceedings of the Seventh International Conference on Language Resources and Evaluation, ELRA, Valletta, Malta, May 2010
36.
Wu, Z., Palmer, M.: Verbs semantics and lexical selection. In: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, ACL 1994, pp. 133–138. Association for Computational Linguistics, Stroudsburg, PA, USA (1994). https://​doi.​org/​10.​3115/​981732.​981751
Metadaten
Titel
A Semantic Similarity Measurement Tool for WordNet-Like Databases
verfasst von
Marek Kubis
Copyright-Jahr
2018
Buch
Human Language Technology. Challenges for Computer Science and Linguistics

Print ISBN: 978-3-319-93781-6

Electronic ISBN: 978-3-319-93782-3

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-93782-3_12