Alessandra Cervone (Preferred)
Alessandra Cervone
Amazon
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@amazon.com
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Researcher
Amazon (amazon.com)
2020 – Present
PhD student
University of Trento (unitn.it)
2016 – 2020
MS student
University of Edinburgh (ed.ac.uk)
2014 – 2015
MS student
Università di Pavia (unipv.it)
2011 – 2014
Advisors, Relations & Conflicts
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PhD Advisor
giuseppe riccardi
****@unitn.it
2016 – 2020
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
natural language generation
2022 – Present
dialogue systems
2016 – Present
discourse
2015 – Present