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Sentence Similarity Based on Semantic Nets and Corpus Statistics Yuma Li1, David McLean2, There Bandar2, James D. O 'Shea2, Kelley Crockett 21. School of Computing & Intelligent Systems University
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Sentence similarity is based on the comparison of textual content to determine how closely related two or more sentences are.
Any individual, organization, or entity involved in textual analysis or natural language processing may be required to file sentence similarity based on.
To fill out sentence similarity, one must use algorithms or techniques to measure the similarity between sentences and produce a quantifiable result.
The purpose of sentence similarity is to assess how similar or related two or more sentences are in terms of meaning, structure, or content.
The report on sentence similarity should include details on the sentences being compared, the method used for comparison, and the results of the similarity measurement.
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