Using the Wiktionary graph structure for synonym detection

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Abstract

This paper presents our work on using the graph structure of Wiktionary for synonym detection. We implement semantic relatedness metrics using both a direct measure of information flow on the graph and a comparison of the list of vertices found to be “close” to a given vertex. Our algorithms, evaluated on ESL 50, TOEFL 80 and RDWP 300 data sets, perform better than or comparable to existing semantic relatedness measures.

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APA

Weale, T., Brew, C., & Fosler-Lussier, E. (2009). Using the Wiktionary graph structure for synonym detection. In People’s Web 2009 - 2009 Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources at the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Proceedings (pp. 28–31). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1699765.1699769

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