• Skip to primary navigation
  • Skip to main content
SRI logo
  • About
    • Press room
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • QED-C
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Search
Close
Bios September 8, 2021

Dayne Freitag

Technical Director, Artificial Intelligence Center

Dayne Freitag, Ph.D., is Technical Director of the Advanced Analytics group in SRI’s Artificial Intelligence Center. His research seeks to apply artificial intelligence to information assimilation, management and exploitation. Specific areas of interest include natural language processing and computational linguistics; machine learning; data mining; information extraction; information retrieval; information diffusion; and information integration.

Freitag has served as principal investigator for a number of research projects including several large, multi-institutional efforts. His research goals have focused on the automation of data science; the automatic extension of mechanistic models through machine reading; knowledge federation over diverse information sources through data analytics and natural language processing; explaining the spread of ideas through online communities; and novel approaches to institutional knowledge management using controlled English.

Before joining SRI in 2009, Freitag led and participated in fundamental research at Fair Isaac Corporation with a special focus on the rapid deployment of textual information extraction, and the unsupervised induction of linguistic structure and function through corpus analysis. He also was a research scientist and vice president for technology at Burning Glass Technologies, LLC, which develops solutions for human resource management using machine learning and natural language processing. Between 1998 and 2000, Freitag conducted information extraction and information retrieval research at Just Research.

Freitag holds a B.A. in English literature from Reed College, and a Ph.D. in computer science from Carnegie Mellon University.

Publications

more +

Accelerating Human Authorship of Information Extraction Rules (10/8/2022) - We simulate the process of corpus review and word list creation, showing that several simple interventions greatly improve recall as…
VALET:  Rule-Based Information Extraction for Rapid Deployment (6/2/2022) - We present VALET, a framework for rule-based information extraction written in Python. We show how a handful of rules suffices…
Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses (8/1/2016) - We consider the use of distant supervision for biological information extraction, and introduce two understudied corpora of this form, the…

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs

Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Institute

Leadership

Press room

Media inquiries

Compliance

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter


日本支社
SRI International
  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2022 SRI International