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Machine learning and natural language processing on the patent corpus: Data, tools, and new measures

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Cited by:

  1. Jan-Bart Vervenne & Julie Callaert & Machteld Hoskens & Bart Looy, 2022. "To what extent do SMEs contribute to Europe’s patent stock? A methodological outline for creating a Europe-wide SME technology indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3049-3082, June.
  2. Biggi, Gianluca & Giuliani, Elisa & Martinelli, Arianna & Benfenati, Emilio, 2022. "Patent Toxicity," Research Policy, Elsevier, vol. 51(1).
    • Gianluca Biggi & Elisa Giuliani & Arianna Martinelli, 2020. "Patent Toxicity," LEM Papers Series 2020/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  3. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
  4. David Autor & David Dorn & Gordon H. Hanson & Gary Pisano & Pian Shu, 2020. "Foreign Competition and Domestic Innovation: Evidence from US Patents," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 357-374, September.
  5. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  6. Scoresby, Richard B. & Park, Haemin, 2021. "The joint effects of individual and firm level knowledge attributes on inventor mobility to entrepreneurial and established firms," Journal of Business Research, Elsevier, vol. 133(C), pages 218-230.
  7. Carol Corrado & David Martin & Qianfan Wu, 2020. "Innovation α: What Do IP-Intensive Stock Price Indexes Tell Us about Innovation?," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 31-35, May.
  8. Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2022. "How does scientific progress affect cultural changes? A digital text analysis," Journal of Economic Growth, Springer, vol. 27(3), pages 415-452, September.
  9. Donald E. Bowen & Laurent Frésard & Gerard Hoberg, 2023. "Rapidly Evolving Technologies and Startup Exits," Management Science, INFORMS, vol. 69(2), pages 940-967, February.
  10. Daron Acemoglu & David Autor & Christina Patterson, 2024. "Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown," NBER Macroeconomics Annual, University of Chicago Press, vol. 38(1), pages 153-207.
  11. Jeffrey L. Furman & Markus Nagler & Martin Watzinger, 2021. "Disclosure and Subsequent Innovation: Evidence from the Patent Depository Library Program," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 239-270, November.
  12. Matthew Clancy & Paul Heisey & Yongjie Ji & GianCarlo Moschini, 2020. "The Roots of Agricultural Innovation: Patent Evidence of Knowledge Spillovers," NBER Chapters, in: Economics of Research and Innovation in Agriculture, pages 21-75, National Bureau of Economic Research, Inc.
  13. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
  14. Chen, Wei & Yan, Yan, 2023. "New components and combinations: The perspective of the internal collaboration networks of scientific teams," Journal of Informetrics, Elsevier, vol. 17(2).
  15. Joshua R. Bruce & John M. de Figueiredo, 2020. "Innovation in the U.S. Government," NBER Working Papers 27181, National Bureau of Economic Research, Inc.
  16. Na Zhang & Lu Cheng & Chao Sun & Julie Callaert & Bart Looy, 2023. "The role of inter- and intra-organisational networks in innovation: towards requisite variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4117-4136, July.
  17. Q. A. Meertens & C. G. H. Diks & H. J. van den Herik & F. W. Takes, 2020. "A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 61-90, January.
  18. Joshua R. Bruce & John M. de Figueiredo, 2020. "Innovation in the US Government," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 433-464, National Bureau of Economic Research, Inc.
  19. Michael J. Andrews, 2021. "Historical patent data: A practitioner's guide," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(2), pages 368-397, May.
  20. Hend S. Al-Khalifa & Taif AlOmar & Ghala AlOlyyan, 2024. "Natural Language Processing Patents Landscape Analysis," Data, MDPI, vol. 9(4), pages 1-17, March.
  21. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," SciencePo Working papers Main hal-04067326, HAL.
  22. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
  23. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
  24. Arts, Sam & Hou, Jianan & Gomez, Juan Carlos, 2021. "Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures," Research Policy, Elsevier, vol. 50(2).
  25. Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2019. "Does Scientific Progress Affect Culture? A Digital Text Analysis," CESifo Working Paper Series 7499, CESifo.
  26. Shin, Seungryul Ryan & Lee, Jisoo & Jung, Yura Rosemary & Hwang, Junseok, 2022. "The diffusion of scientific discoveries in government laboratories: The role of patents filed by government scientists," Research Policy, Elsevier, vol. 51(5).
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