Measurement of FarsNet-based Semantic Word Similarity and Relatedness

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Adelkhah Razieh; SHAMSFARD MEHRNOUSH

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Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2021 | Issue:7

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Title

Measurement of FarsNet-based Semantic Word Similarity and Relatedness

Author(s)

Adelkhah Razieh | SHAMSFARD MEHRNOUSH

Keywords

Semantic Similarity

Semantic Relatedness

FarsNet

Abstract

Finding similarity and semantic relatedness between words and concepts of a language is very important in natural language processing and can help improve the performance of various systems such as plagiarism detection, summarization, machine translation evaluation, transliteration detection, implication detection and intelligent conversation. Finding semantic similarity and relatedness, depending on the type of meaning representation, can be graph-based or vector-based. In graph-based methods determine the degree of semantic similarity of the two concepts based on the information in the hierarchy, and semantic relatedness is calculated using more information, such as other non-hierarchical relations and glosses or examples for each concept in the wordnet. In this paper, first we explain how the six existing measures of semantic similarity and the three measures of semantic relatedness work on a pair of Persian concepts or words. Besides using these measures, we introduce a new FarsNet-based method and measure semantic similarity and relatedness of Persian words based on all these measures. We also prepare a baseline service to calculate word similarities and test, evaluate or compare similarity measures.

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APA: Copy

Adelkhah, Razieh, & SHAMSFARD, MEHRNOUSH. (2021). Measurement of FarsNet-based Semantic Word Similarity and Relatedness. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949469/en

Vancouver: Copy

Adelkhah Razieh, SHAMSFARD MEHRNOUSH. Measurement of FarsNet-based Semantic Word Similarity and Relatedness. 2021. Available from: https://sid.ir/paper/949469/en

IEEE: Copy

Razieh Adelkhah, and MEHRNOUSH SHAMSFARD, “Measurement of FarsNet-based Semantic Word Similarity and Relatedness,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2021, [Online]. Available: https://sid.ir/paper/949469/en

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