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Patents Phrase to Phrase Semantic Matching Dataset

Grigor Aslanyan
Ian Wetherbee
PatentSemTech Workshop 2022 (2022)
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There are many general purpose benchmark datasets for SemanticTextual Similarity but none of them are focused on technical concepts found in patents and scientific publications. This work aims to fill this gap by presenting a new human rated contextual phrase to phrase matching dataset. The entire dataset contains close to50,000rated phrase pairs, each with a CPC (Cooperative PatentClassification) class as a context. This paper describes the dataset and some baseline models.

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