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A Spectral Learning Based Model to Evaluate Semantic Textual Similarity

2023-02-06

Abstract excerpt

Semantic Textual Similarity (STS) is a task in NLP that compares two sentences in a sentence-pair and scores the relationship between them using the degree of semantic equivalence. It has wide applicability in various fields. Consequently, the research around the task is constantly evolving. The demand for new as well as improved methods is endless. Numerous methods have been proposed that largely belong to either...

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Identifiers and source

Literature Corpus work
a802dd2d-f671-59f6-89a2-acb3f3880809
DOI
10.21203/rs.3.rs-2541181/v1
Open publication

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A Spectral Learning Based Model to Evaluate Semantic Textual SimilarityDOI 10.21203/rs.3.rs-2541181/v1
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