A word sense disambiguation algorithm for the simple semantic units based on semantic relevancy

被引：0

作者：

机构：

[1] School of Computer and Information Engineering, Anyang Normal University

来源：

Liu, Y. (Liuyt_liuyt@126.com) | 1600年 / Binary Information Press卷 / 10期

关键词：

Dynamic programming; Semantic relevancy; The maximum spanning tree; The simple semantic unit; Word sense disambiguation;

D O I：

10.12733/jcis9395

中图分类号：

学科分类号：

摘要：

In order to using semantics more effectively and accurately in natural language processing, a word sense disambiguation (WSD) algorithm for the simple semantic units based on dynamic programming was proposed. Firstly the semantics computing model based on semantic relevancy was described, and the definition of the simple semantic unit was given, and the characteristics of the simple semantic units were analyzed. Using dynamic programming method, the maximum spanning tree (MST) variable for each sense of any polysemies would be calculated successively, and the MST of the complete semantic modification graph could be obtained; the best parsing method could be easily be transformed from the MST and the word sense of the polysemy could be disambiguated with the MST. Finally some experiments were finished to verify the effeteness for the algorithm. © 2014 Binary Information Press.

引用

页码：1555 / 1563

页数：8

共 10 条

[1]

Wang G.Z., Wang X.F., Word sense disambiguating method based on hownet semantic relevancy computation, Journal of Anhui University of Technology (Natural Science), 25, 1, pp. 71-75, (2008)

[2]

Deepesh K.K., Jyotirmayee C., Alok C., Improvement in WSD by introducing enhancements in English WordNet Structure, International Journal on Computer Science and Engineering, 4, 7, pp. 1366-1370, (2012)

[3]

Li C.L., Sun A.X., Anwitaman datta. TSDW: Two-stage WSD using wikipedia, Journal of the American Society for Information Science and Technology, 64, 6, pp. 1203-1223, (2013)

[4]

Yang Z.Z., Huang H.Y., Graph based WSD method using distance between words, Journal of Software, 23, 4, pp. 776-785, (2012)

[5]

Jia K.L., Query expansion based on word sense disambiguation in Chinese question answering system, Journal of Computational Information Systems, 1, 6, pp. 181-187, (2010)

[6]

Li S.Q., Tian Q., Tang C., Disambiguating method for computing relevancy based on HowNet semantic knowledge, Journal of the China Society for Scientific and Technical Information, 28, 5, pp. 706-711, (2009)

[7]

Liu Y.T., k-pruning algorithm for semantic relevancy calculating model of natural language, Journal of Theoretical and Applied Information Technology, 48, 3, pp. 231-235, (2013)

[8]

Kostas F., Modeling Wordnet glosses to perform WSD, International Journal on Artificial Intelligence Tools, 22, 2, pp. 1345-1352, (2013)

[9]

Minca A., Diaconescu S., An approach to knowledge-based WSD using semantic trees built on a WordNet lexicon network, 2011 6th Conference on Speech Technology and Human-Computer Dialogue, 7, pp. 1-6, (2011)

[10]

Suvitha D.S., Janarthanan R., Enriched semantic information processing using WordNet based on semantic relation network, 2012 International Conference on Computing, Electronics and Electrical Technologies, 3, pp. 846-851, (2012)

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