Abstract
Based on HowNet, some definitions of entity similarity are unreasonable. The synonymy and similar relationships of each entity are analyzed in great detail in Extended Synonym. But Extended Synonym includes only entity words, not other types of words. In view of the deficiencies of the two dictionaries, a word similarity method based on HowNet and Extended Synonym is proposed. Firstly, a synonym expansion figure is established through the existing tree figure in Extended Synonym. Then based on the two types of figures and six types of words, the entity similarity methods in five different cases are established in detail. The important parameters in the five methods are set based on the existing semantic parameter and large-scale experiments. For the other case that one of two words is at least not an entity, the traditional HowNet-based method is used to compute the similarity between two words. The word similarity method proposed in this paper improves the performance of short text similarity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dong, Z.D., Dong, Q.: HowNet (2013). http://www.keenage.com
Liu, T.: Extended synonym. Information Retrieval Laboratory of Harbin Institute of Technology (2018). http://ir.hit.edu.cn
Huang, Z.Y.: HNC theory. Tsinghua University Press (1999)
Fellbaum, C.: Word Net: An Electronic Lexical Database. Language, Speech, and Communication, The MIT Press, Cambridge (1998)
Baker, C.F., Fillmore, C.J., Lowe, J.B.: The Berkeley FrameNet project. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, vol. 1. Association for Computational Linguistics, pp. 86–90 (1998)
Liu, Q., Li, S.J.: Word similarity computing based on How Net. In: Third Seminar on Chinese Lexical Semantics, pp. 59–76 (2002)
Wang, X.L., Wang, Y.: Improved HowNet-based word similarity algorithm. Comput. Appl. 31, 3075–3090 (2011)
Fan, H.Y., Zhang, Y.S.: A method of word semantic similarity computing based on How Net. J. Beijing Univ. Inf. Technol. (Nat. Sci. Ed.) 4, 42–45 (2014)
Foltz, P., Kintsch, W., Landauer, T.: The measurement of textual coherence with latent semantic analysis. Discourse Process. 25, 285–307 (1998)
Jurafsky D, Martin J. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, Prentice Hall, Upper Saddle River (2000)
Song, W.P.: Application of short text similarity calculation in user interactive question answering system, Ph.D. dissertation, China University of Science and Technology (2010)
Mei, J.J., Zhu, Y.M., Gao, Y.Q.: Synonym Words. Shanghai Dictionary Publishing House, Shanghai (1983)
Zhao, L.: A short text similarity calculation method based on semantic and syntactic structure. Comput. Eng. Sci. 40, 1287–1294 (2018)
Acknowledgment
This work is supported by National Natural Science Foundation of China (Grant No. 61100119).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Nie, H., Zhou, J., Wang, H., Li, M. (2020). Word Similarity Computing Based on HowNet and Synonymy Thesaurus. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-29513-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-29513-4_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29512-7
Online ISBN: 978-3-030-29513-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)