Chris Welty – Google Research
Dr. Chris Welty is a Sr. Research Scientist at Google in New York, and an Endowed Professor of Cognitive Systems at the VU University, Amsterdam. His main area of interest is using structured semantic information to improve semantic processing of unstructured information, such as using freebase to help improve web search. He was part of the team that recently launched Explore in Google Docs. His latest work is on using crowdsourcing to form a new theory of truth based on diversity of perspectives. Before Google, Dr. Welty was a member of the technical leadership team for IBM’s Watson and recipient of the AAAI Feigenbaum Prize for his work. He co-developed OntoClean, the first formal methodology for evaluating ontologies and is on the editorial board of AI Magazine, the Journal of Applied Ontology, the Journal of Web Semantics, and the Semantic Web Journal.
Kathleen McKeown – Columbia University
Kathleen R. McKeown is the Henry and Gertrude Rothschild Professor of Computer Science at Columbia University and she also serves as the Director of the Institute for Data Sciences and Engineering. She served as Department Chair from 1998-2003 and as Vice Dean for Research for the School of Engineering and Applied Science for two years. McKeown received a Ph.D. in Computer Science from the University of Pennsylvania in 1982 and has been at Columbia since then. Her research interests include text summarization, natural language generation, multi-media explanation, question-answering and multi-lingual applications.
Antal van den Bosch – Radboud University
Antal van den Bosch is director of the Meertens Institute in Amsterdam, and Professor of Language and Speech Technology at the Centre for Language Studies at Radboud University, Nijmegen, the Netherlands. He is a member of the Royal Dutch Academy of Arts and Sciences and an ECCAI Fellow. His research is focussed on developing machine learning and language technology and involves the intersection of the two fields: computers that learn to understand and generate natural language. His interests include text mining as social and cultural data mining, digital humanities, the Dutch language, and open source natural language processing software development.