Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
SIGIR 2020 | July 2020
Peter Potash
Applied Researcher
Publications
Publications by Year
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Ranking Passages for Argument Convincingness
Peter Potash, Adam Ferguson, T. J. Hazen
6th Workshop on Argument Mining | August 2019
Publications by Research Area
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Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
SIGIR 2020 | July 2020
Ranking Passages for Argument Convincingness
Peter Potash, Adam Ferguson, T. J. Hazen
6th Workshop on Argument Mining | August 2019
-
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
SIGIR 2020 | July 2020
Ranking Passages for Argument Convincingness
Peter Potash, Adam Ferguson, T. J. Hazen
6th Workshop on Argument Mining | August 2019
-
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
SIGIR 2020 | July 2020
-
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
SIGIR 2020 | July 2020
-
Ranking Passages for Argument Convincingness
Peter Potash, Adam Ferguson, T. J. Hazen
6th Workshop on Argument Mining | August 2019
Publications by Type
-
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
SIGIR 2020 | July 2020
Ranking Passages for Argument Convincingness
Peter Potash, Adam Ferguson, T. J. Hazen
6th Workshop on Argument Mining | August 2019