Lemmas clustering methods retrieve and form clusters for collected snyset lemmas from LSR and dictionaries based on the lexical semantic network. For example, Lam et al. (2014) proposed used machine translation to build a new Wordnet from several lexical resources and Wordnets.

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Based on how the synset lemmas are assessed, synset lemmas evaluation methods can be categorized as:

1)	Lemmas Validation Methods

2)	Lemmas Clustering Methods.



Synset Lemmas Evaluation Methods

Khalilia, H., Freihat, A. A., & Giunchiglia, F. (2021). The Quality of Lexical Semantic Resources: A Survey. In Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) (pp. 117-129).

The Quality of Lexical Semantic Resources: A Survey

Nadig et al. (2008) proposed the most famous method for lemmas validation, which is Validate Synset algorithm. It relys on dictionary definitions to verify synset, and they emphasize that a synset in a given Worknet should be both complete and correct. 

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