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Marti Hearst
Below the Line, Professor
Research Areas
- information retrieval, user interfaces, computational linguistics
Research Centers
Teaching Schedule
(Fall 2013)
Biography
Dr. Marti Hearst is a professor in the School of Information at UC Berkeley, with an affiliate appointment in the Computer Science Division. Her primary research interests are user interfaces for search engines, information visualization, natural language processing, and empirical analysis of social media. She has recently completed the first book on Search User Interfaces. Prof. Hearst received her BA, MS, and PhD degrees in Computer Science from the University of California at Berkeley, and she was a Member of the Research Staff at Xerox PARC from 1994 to 1997. Prof. Hearst has served on the Advisory Council of NSF's CISE Directorate and was co-chair of the Web Board for CACM. She is a member of the Usage Panel for the American Heritage Dictionary and is on the Edge.org panel of experts. Prof. Hearst is on the editorial boards of
ACM Transactions on the Web and
ACM Transactions on Computer-Human Interaction and was formerly on the boards of
Computational Linguistics,
ACM Transactions on Information Systems, and
IEEE Intelligent Systems. Prof. Hearst has received an NSF CAREER award, an IBM Faculty Award, a Google Research Award, an Okawa Foundation Research Grant, and two Excellence in Teaching Awards.
Selected Publications
- M. Hearst, "Clustering versus faceted categories for information exploration," Communications of the ACM, vol. 49, no. 4, pp. 59-61, April 2006.
- P. Nakov and M. Hearst, "Using the Web as an implicit training set: Application to structural ambiguity resolution," in Proc. of the Human Language Technology Conf. and Conf. on Empirical Methods in Natural Language Processing, Madison, WI: Omnipress Inc., 2005, pp. 835-842.
- M. Hearst, A. Elliott, J. English, R. Sinha, K. Swearingen, and K. Yee, "Finding the flow in Web site search," Communications of the ACM, vol. 45, no. 9, pp. 42-49, Sep. 2002.
- M. Hearst, "User interfaces and visualization," in Modern Information Retrieval, R. Baeza-Yates and B. Ribeiro-Neto, Eds., Harlow, England: ACM Press/Addison-Wesley Longman Publishing Co., 1999, pp. 257-323.
- M. Hearst and J. O. Pedersen, "Reexamining the cluster hypothesis: Scatter/gather on retrieval results," in Proc. 19th Annual Intl. ACM SIGIR Conf. on Research and Development in Information Retrieval, New York, NY: ACM Press, 1996, pp. 76-84.
- M. Hearst, "TileBars: Visualization of term distribution information in full text information access," in Proc. Conf. on Human Factors in Computing Systems: Mosaic of Creativity, I. R. Katz, R. Mack, and L. Marks, Eds., New York, NY: ACM Press/Addison-Wesley Publishing Co., 1995, pp. 59-66.
- M. Hearst, "Multi-paragraph segmentation of expository text," in Proc. 32nd Annual Meeting of the Association for Computational Linguistics, San Francisco, CA: Morgan Kaufmann Publishers, 1994, pp. 9-16.
- M. Hearst, "Automatic acquisition of hyponyms from large text corpora," in Proc. 14th Conf. on Computational Linguistics, Vol. 2, Morristown, NJ: Association for Computational Linguistics, 1992, pp. 539-545.
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