2021
DOI: 10.1007/s10506-021-09291-7
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Quantifying the genericness of trademarks using natural language processing: an introduction with suggested metrics

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Cited by 2 publications
(1 citation statement)
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“…The former cares mainly about codification and precedent, the latter about rationale and outcome. The one forum in which trademarks are visible––perhaps predictably––is the use of trademark data for computational metrification and landscaping of innovation, most squarely in forecasting and management studies (e.g., Yoonjae and Barnett 2011; Lim et al 2017; Castaldi 2019; Grid 2019; Shackell and De Vine 2021). Articles like Mossoff’s that problematize or contextualize trademarks are rare in the past decade and usually confined not just to law journals but also to the margins of specialist intellectual property law journals.…”
Section: Trademark Law’s Growing Relevance To Stsmentioning
confidence: 99%
“…The former cares mainly about codification and precedent, the latter about rationale and outcome. The one forum in which trademarks are visible––perhaps predictably––is the use of trademark data for computational metrification and landscaping of innovation, most squarely in forecasting and management studies (e.g., Yoonjae and Barnett 2011; Lim et al 2017; Castaldi 2019; Grid 2019; Shackell and De Vine 2021). Articles like Mossoff’s that problematize or contextualize trademarks are rare in the past decade and usually confined not just to law journals but also to the margins of specialist intellectual property law journals.…”
Section: Trademark Law’s Growing Relevance To Stsmentioning
confidence: 99%