most citedAspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 5 cited

AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge

Tim Schopf, Emanuel Gerber, Malte Ostendorff +1

Generic sentence embeddings provide a coarse-grained approximation of semantic textual similarity but ignore specific aspects that make texts similar. Conversely, aspect-based sent…