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Old Age
Patents Phrase to Phrase Semantic Matching Dataset
August 01, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Grigor Aslanyan, Ian Wetherbee
arXiv ID
2208.01171
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.LG
Citations
7
Venue
arXiv.org
Last Checked
5 months ago
Abstract
There are many general purpose benchmark datasets for Semantic Textual 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 to $50,000$ rated phrase pairs, each with a CPC (Cooperative Patent Classification) class as a context. This paper describes the dataset and some baseline models.
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