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A novel patent dataset construction strategy based on machine learning for S&T analysis

Kai Song Yue Chen Jean-Charles Lamirel 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
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Conference papers
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https://hal.inria.fr/hal-03179704
Contributor : Jean-Charles Lamirel Connect in order to contact the contributor
Submitted on : Wednesday, March 24, 2021 - 1:25:26 PM
Last modification on : Wednesday, November 3, 2021 - 7:09:14 AM

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  • HAL Id : hal-03179704, version 1

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UNIV-LORRAINE | LORIA | CNRS | INRIA | LORIA-NLPKD

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Kai Song, Yue Chen, Jean-Charles Lamirel. A novel patent dataset construction strategy based on machine learning for S&T analysis. 14th International Conference on Webometrics, Informetrics and Scientometrics and 20th COLLNET meeting, Dec 2018, Macao, China. ⟨hal-03179704⟩

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