A Survey on Semantic Similarity
Preetham Sunilkumar, Athira P. Shaji · 2019
This paper provides a survey of semantic similarity of text documents. Semantic Similarity is an important task in Natural Language Processing (NLP). It is widely used for information retrieval, text classification, question answering, and plagiarism detection. This survey will classify different types of semantic similarity approaches such as corpus-based, knowledge-based and string-based. Various papers are reviewed and prepared performance analysis in this survey.