Portrait of Evelyne Viegas

Evelyne Viegas

Director of AI Outreach

About

Evelyne Viegas is a Director, Artificial Intelligence, at Microsoft. In her current role, she creates initiatives which focus on intelligent information seen as an enabler of innovation, working in partnership with business groups, universities and government agencies worldwide. In particular she develops AI programs which encourage AI experimentation via cloud-based services, and emphasize the notion of coopetitions, or collaborative competitions, to drive open innovation.

Prior to her present role, Evelyne worked as a Technical Lead at Microsoft delivering Natural Language Processing components to Office and Windows. Before Microsoft, and after completing her Ph.D. in France, she worked as a Principal Investigator at the Computing Research Laboratory in New Mexico on an ontology-based Machine Translation project. Evelyne serves on international editorial, program and award committees.

 

Projects

Project Tokyo

Established: October 31, 2016

“Technology has the potential to enrich people’s lives in ways never before possible and we won’t stop pushing the boundaries of what technology can do to empower every person and organization on the planet.” –Jenny Lay Flurrie, Chief Accessibility Officer, Microsoft Recent advances in artificial intelligence, machine learning, computer vision and related disciplines are helping transform industries and empowering people. We formed Project Tokyo in support of Microsoft’s efforts to democratize computing for everyone. An…

Project Malmo

Established: June 1, 2015

How can we develop artificial intelligence that learns to make sense of complex environments? That learns from others, including humans, how to interact with the world? That learns transferable skills throughout its existence, and applies them to solve new, challenging problems? https://youtu.be/KkVj_ddseO8 Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform is a sophisticated AI experimentation…

CodaLab

Established: March 21, 2014

CodaLab is an open-source web-based platform that enables researchers, developers, and data scientists to collaborate, with the goal of advancing research fields where machine learning and advanced computation is used. CodaLab helps solve many common problems in the arena of data-oriented research through its online community, where people share worksheets and participate in collaborative competitions. Immutable experimentation that ensures reproducibility Today’s data-driven research and development is stymied by an inability of scientists and their collaborators…

Try F#

Established: September 24, 2012

Try F# demonstrates the power of F# to solve real-world analytical programming and information-rich problems by providing a web experience to help you learn the F# language, create programs, and share information—quickly and easily. A growing trend in both the theory and practice of programming is the interaction with rich information spaces. This trend derives from the ever-increasing need to integrate programming with large, heterogeneous, connected, richly structured, streaming, evolving, or probabilistic information sources—be they…

Publications

2013

2011

2010

2000

Projects

Social and Emotional Intelligence in AI and Agents Link description

Social and Emotional Intelligence in AI and Agents

Date

July 18, 2017

Speakers

Mary Czerwinski; Justine Cassell; Jonathan Gratch; Daniel McDuff; Louis-Philippe Morency

Affiliation

Microsoft; Carnegie Mellon University; University of Southern California; Microsoft; Carnegie Mellon University

Link description

Closing Remarks

Date

May 21, 2014

Speakers

Evelyne Viegas, Jaime Puente, and Tony Hey

Affiliation

Microsoft, Microsoft

Link description

Communities in the Cloud

Date

May 1, 2014

Speakers

Kenji Takeda, Steven Roberts, Evelyne Viegas, Tanya Berger-Wolf, and Chaitan Baru

Affiliation

Microsoft, University of Washington, U of Illinois, San Diego Supercomputer Center

Link description

Data-driven Research at Web Scale

Date

April 14, 2011

Speakers

Evelyne Viegas, Haym Hirsh, and Serge Sharoff

Affiliation

MSR, Rutgers University, University of Leeds

Link description

Semantic Computing for Software Agents

Date

April 13, 2011

Speakers

Evelyne Viegas, Zoubin Ghahramani, and Steffen Staab

Affiliation

MSR, University of Cambridge, University of Koblenz

Other

Service and Committees

Conference Chair

Workshop Organizer

  • CodaLab for Data-Driven Research – Learn, Share and Collaborate, Microsoft Research Faculty Summit, July 16, 2014 co-organized by Isabelle Guyon, ChaLearn; Percy Liang, Stanford University; Simon Mercer, Microsoft Research; Evelyne Viegas, Microsoft Research.
  • Data-Centric Programming, POPL, San Diego, January 25, 2014; co-organized by Judith Bishop, Microsoft Research; Jeremy Gibbons, University of Oxford; Erik Meijer, Applied Duality; Evelyne Viegas, Microsoft Research
  • Data Driven Functional Programming, POPL, Rome, Italy, January 22, 2013; co-organized by Judith Bishop, Microsoft Research; Karin Breitman, EMC Labs; Evelyne Viegas, Microsoft Research
  •  First Workshop on Programming the Semantic Web, ISWC, Boston, MA, US, November 11, 2012; co-organized by Karin Breitman, EMC Labs; Steffen Staab, University of Koblenz-Landau; Evelyne Viegas, Microsoft Research; Jan Vitek, Purdue University
  • Spelling Alteration for Web Search Workshop, City Center – Bellevue, WA. July 19, 2011; co-organized by Evelyne Viegas, Microsoft Research; Jianfeng Gao, Microsoft Research; Kuansan Wang, Microsoft Research; Jan Pedersen, Microsoft
  • SIGIR 2010 Web N-gram Workshop, Geneva, Switzerland, July 23, 2010; co-organized by Chengxiang Zhai, University of Illinois at Urbana-Champaign; David Yarowsky, Johns Hopkins University; Evelyne Viegas, Microsoft Research; Kuansan Wang, Microsoft Research; Stephan Vogel, Carnegie Mellon University
  • Workshop on Confidential Data Collection for Innovation Analysis in Organizations 2009, Redmond, Sept 6-7, 2009; co-organized by Nick Bloom, Stanford University; Isabel Cruz, University of Illinois at Chicago; Christian Schunn, University of Pittsburgh; Evelyne Viegas, Microsoft Research. Sponsored by National Science Foundation
  • Beyond Search – Semantic Computing and Internet Economics 2009 Workshop, Redmond, June 10-11, 2009; co-organized by Evelyne Viegas, Microsoft Research and Ewa Dominowska, OSD – Bing. Sponsored by External Research and OSD-Bing
  • WSDM 2009 Web Search Click Data 2009, Barcelona, Spain, Feb 8, 2009; co-organized by Nick Craswell, Microsoft; Rosie Jones, Yahoo! Labs; Georges Dupret, Yahoo! Labs; Evelyne Viegas, Microsoft Research. Sponsored by the Association for Computing Machinery (ACM)

Programme Committee Member, Reviewer

  • Association for the Advancement of Artificial Intelligence (AAAI)
  • Association for Computational Linguistics (ACL)
  • Conference on Computational Linguistics (COLING): 2014
  • Grace Hopper Conference (GHC): Data Science track (2014)
  • International/European Semantic Web Conference (ISWC/ESWC)
  • Journal of Web Semantics
  • Language Resources and Evaluation (LREC)
  • National Science Foundation (NSF)
  • World Wide Web Conference (WWW)


Articles and Papers

Journal Articles and Papers

Books

Evelyne Viegas (1999, 2007) Breadth and Depth of Semantic Lexicons. Kluwer Academic Press.

Pierrette Bouillon, Laurence Jacqmin, Graham Russell, Lyne Da Sylva, Francoise Vandooren and Evelyne Viegas (1998) Traitement automatique des langues naturelles. Textbook on Natural Language Processing. Editions Duculot, Deboeck et Larcier, 1998, Paris, Bruxelles.

Patrick Saint-Dizier and Evelyne Viegas (1995, 2005) Computational Lexical Semantics. Cambridge: Cambridge University Press

 

 Projects

  • CodaLab – an open-source platform to conduct data- and computation-intensive experiments
  • Try F# – a web-based unique information-rich programming experience
  • Web N-gram Services – a cloud-based platform to drive discovery and innovation in data-driven research
  • Speller Challenge – Congratulations to all winners

 Blogs

 Interviews