Alexandre Klementiev

aklement at gmail dot com

About Me

Since the end of 2018, I have been a Principal Applied Scientist at Amazon Search working to improve the search experience through extracting, modeling and summarizing subjective customer feedback and improving query spelling correction. For about 5 years prior to joining Search as an individual contributor, I was a Sr. Applied Science Manager leading a central NLP research team in the Core ML ogranization. Our work includes: Before joining Amazon in 2013, I was a postdoc at the Saarland University MMCI Cluster of Excellence working with Ivan Titov. Our project on inducing multilingual semantic representations received a Google research award. Before joining Ivan's group in July 2011 I was a postdoctoral fellow at the Johns Hopkins University Center for Language and Speech Processing working with Chris Callison-Burch.

I received my Ph.D. in Computer Science in late 2009 from the University of Illinois at Urbana Champaign under Dan Roth. I spent two summers (in 2006 and 2007) as a intern at Microsoft Research Redmond working with Michael Gamon.

My research interests are machine learning and natural language processing. More specifically, I am interested in weakly supervised learning problems in NLP, computational semantics, and machine translation (particularly, for low resource languages).

Please, see my CV for more details.