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Dr John Niekrasz

Computer Scientist
Artificial Intelligence Center

9988 Hibert St, Suite 203
San Diego CA 92131

Phone:  858-527-1408
Fax: (650) 859-3735

Email: 
Home Page: 

Biography and Interests

John Niekrasz is a Computer Scientist in the Advanced Analytics group of SRI’s Artificial Intelligence Center. His core interests center on the use of automated discourse analysis in support of technologies that understand purposes and intentions in language use, particularly in informal and conversational genres. His published research includes automated essay scoring, speech summarization, linguistic pragmatics, conversational communication, discourse segmentation, information extraction, dialogue systems, and human-computer interfaces. Prior to joining SRI in 2010, while at Stanford’s Center for the Study of Language and Information, Niekrasz carried out research for the DARPA Personal Assistant that Learns program. There, under the SRI-lead Cognitive Assistant that Learns and Organizes (CALO) project, he developed a personal meeting assistant and studied methods for automatically extracting action items and decisions during spoken meetings. His subsequent doctoral research at the University of Edinburgh was conducted as part of the EU-funded Augmented Multi-party Interaction (AMI) project, which investigated automated content linking and indexing to support spoken conversations in real time. Niekrasz holds a Ph.D. in Linguistics from the University of Edinburgh and a B.S. in Symbolic Systems from Stanford University. His dissertation examined algorithms for automatically summarizing communicative activities in multi-party face-to-face conversations.

Past Projects

Dovetail

DoVETAIL: Domain Vocabulary Extraction and Transduction, and Auto-Induction of Layout

The ability to quickly produce actionable intelligence from unanticipated, multiple, varied data sets require research advances in two key areas: (1) alignment of data models; and (2) advanced analytic algorithms. Making advances in these two research areas, and fully characterizing the performance of the research results, is the focus of this project, which is part of the IARPA Knowledge Discovery and Dissemination (KDD) Program.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 31 [View All]

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