Dan Roth

Dan Roth

Dan Roth, 2011
Born Haifa, Israel
Fields Computer Science, Machine Learning, Natural Language Processing, Automated reasoning, Information Extraction.
Institutions University of Illinois at Urbana-Champaign
Alma mater Harvard University
Doctoral advisor Leslie Valiant
Known for Joint Learning and Inference: ILP formulations of NLP tasks...,[1] Machine Learning for NLP, Probabilistic Reasoning
Website
l2r.cs.illinois.edu/~danr/

Dan Roth is a Founder Professor of Engineering at the University of Illinois at Urbana-Champaign.[2] He is a professor in the Department of Computer Science and the Beckman Institute at the University of Illinois at Urbana-Champaign[3] and holds faculty positions also at the Statistics,[4] Linguistics[5] and ECE Departments[6] and at the graduate School of Library and Information Science,[7] and is an adjoint professor at the Toyota Technological Institute at Chicago.[8]

Biography

Roth got his B.A Summa cum laude in Mathematics from the Technion, Israel and his Ph.D in Computer Science from Harvard University in 1995.[9]

Professional career

Roth is a Fellow of the American Association for the Advancement of Science (AAAS),[10] the Association of Computing Machinery (ACM),[11] the Association for the Advancement of Artificial Intelligence (AAAI),[12] and the Association of Computational Linguistics (ACL).[13]

Roth’s research[14] focuses on the computational foundations of intelligent behavior. He develops theories and systems pertaining to intelligent behavior using a unified methodology, at the heart of which is the idea that learning has a central role in intelligence. His work centers around the study of machine learning and inference methods to facilitate natural language understanding. In doing that he has pursued several interrelated lines of work that span multiple aspects of this problem - from fundamental questions in learning and inference and how they interact,[15] to the study of a range of natural language processing (NLP) problems and developing advanced machine learning based tools for natural language applications.[16]

Roth has worked on probabilistic reasoning (including its complexity[17] and probabilistic lifted inference [18]), Constrained Conditional Models (ILP formulations of NLP problems) and constraints driven learning,[19][20] part-based (constellation) methods in object recognition,[21] response based Learning,[22] He has developed NLP and Information extraction tools that are being used broadly by researchers and commercially, including NER, coreference resolution, wikification, SRL, and ESL text correction.[16]

Roth is the Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR).[23]

References

  1. ↑ Constrained Conditional Models
  2. ↑ Dan Roth's Faculty Listing at UIUC
  3. ↑ Dan Roth's Faculty Listing at UIUC
  4. ↑ UIUC Statistics Department Faculty Listing
  5. ↑ UIUC Linguistics Department Faculty Listing
  6. ↑ UIUC ECE Department Faculty Listing
  7. ↑ Affiliated Faculty at Library and Information Science at UIUC
  8. ↑ Toyota Technical Institute Faculty Listing
  9. ↑ Dan Roth's Webpage
  10. ↑ AAAS List of Fellows
  11. ↑ ACM Fellows
  12. ↑ AAAI List of Fellows
  13. ↑ ACL Fellows
  14. ↑ Dan Roth's Publication Page
  15. ↑ R. Khardon and D. Roth,Learning to Reason, Journal of the ACM (1997)
  16. 1 2 Illinois Cognitive Computation Group Demo Page
  17. ↑ D. Roth, D. Roth, On the hardness of approximate reasoning, Artificial Intelligence (1996)
  18. ↑ R. Braz, E. Amir and D. Roth, Lifted First-Order Probabilistic Inference, IJCAI, 2005.
  19. ↑ M. Chang and L. Ratinov and D. Roth, Structured Learning with Constrained Conditional Models, Machine Learning (2012)
  20. ↑ D. Roth and W. Yih, A Linear Programming Formulation for Global Inference in Natural Language Tasks, CoNLL (2004)
  21. ↑ S. Agarwal and A. Awan and D. Roth, Learning to Detect Objects in Images via a Sparse, Part-Based Representation, IEEE Transactions on PAMI (2004)
  22. ↑ J. Clarke and D. Goldwasser and M. Chang and D. Roth, Driving Semantic Parsing from the World's Response, CoNLL (2010)
  23. ↑ JAIR Masthead
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