A Survey of Text Similarity Approaches

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Text Mining in Big Data Analytics (2020, methodology): “One approach is to employ semantic similarity measures [50].”
Cosine similarity to determine similarity measure: Study case in online essay assessment (2016, methodology): “Cosine Similarity is a measure of similarity between two vectors obtained from the cosine angle multiplication value of two vectors being compared [3].”
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases (2019, methodology): “We use the Dice similarity coefﬁcient [15] to reﬂect the co-occurrence of two query fragments c 1 and c 2 in the QFG, deﬁned as follows: We accumulate Dice for every pair of non-relation (i.e. not in the FROM context) fragments ( c 1 , c 2 ) ∈ φ τ (cid:54) = FROM × φ τ (cid:54) = FROM : The query…”
A large language model for electronic health records (2022, background): “Various machine learning methods have been examined 64–66 but transformer-based systems such as RoBERTa 25 , T5 27 , and ALBERT 28 are leading the state-of-the-art models for STS.”