Temple T
Alexander Yates
Assistant Professor
Center for Information Science and Technology
Department of Computer and Information Sciences
College of Science and Technology
Temple University
 Contact Information:
Office: Wachman Hall 303A
Phone: 215-204-8869
Fax: 215-204-5082
Email: temple email address
 Mailing Address:
324 Wachman Hall
Temple University
1805 N. Broad St.
Philadelphia, PA 19122
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Research

I am interested in all aspects of artificial intelligence, machine learning, natural language processing, and computer vision. Currently, my research focuses on building automated techniques to collect knowledge about the world for use by intelligent software agents.

Some recent publications:

Prakash Srinivasan and Alexander Yates. Quantifier Scope Disambiguation Using Extracted Pragmatic Knowledge: Preliminary Results. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2009. (bib)

Alexander Yates. Extracting World Knowledge from the Web. IEEE Computer 42(6), June 2009, pages 94-97. (bib)

Fei Huang and Alexander Yates. Distributional Representations for Handling Sparsity in Supervised Sequence Labeling. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009. (bib)

Alexander Yates and Oren Etzioni. Unsupervised Methods for Determining Object and Relation Synonyms on the Web. Journal of Artificial Intelligence Research (JAIR) 34, March, 2009, pages 255-296. (online appendix)

Alexander Yates, James Joseph, Ana-Maria Popescu, Alexander D. Cohn, and Nick Sillick. ShopSmart: Product Recommendations through Technical Specifications and User Reviews. Proceedings of the Conference on Information and Knowledge Management (CIKM), 2008.

Alexander Yates and Oren Etzioni. Unsupervised Resolution of Objects and Relations on the Web. Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), 2007.

(more on my research ...)

Teaching

I teach introductory programming courses in Java, as well as graduate courses in text mining and data management.