Mark Dredze

Collaborator

Johns Hopkins University
Human Language Technology Center of Excellence, Baltimore, MD

Mark Dredze is as an Assistant Research Professor in the department of Computer Science and a Senior Research Scientist at the Human Language Technology Center of Excellence at The Johns Hopkins University. His research interests include machine learning, natural language processing and intelligent user interfaces. His focus is on novel applications of machine learning to solve language processing challenges as well as applications of machine learning and natural language processing to support intelligent user interfaces for information management. He earned his PhD from the University of Pennsylvania and has worked at Google, IBM and Microsoft.

Publications

2015

T. Wolfe, M. Dredze, J. Mayfield, P. McNamee, C. Harmon, T. Finin, and B. Van Durme, "Interactive Knowledge Base Population", Proceedings, arXiv:1506.00301 [cs.AI], May 2015, 1155 downloads.

2010

M. Dredze, P. McNamee, D. Rao, A. Gerber, and T. Finin, "Entity Disambiguation for Knowledge Base Population", InProceedings, Proceedings of the 23rd International Conference on Computational Linguistics, August 2010, 2539 downloads, 17 citations.
T. Finin, W. Murnane, A. Karandikar, N. Keller, J. Martineau, and M. Dredze, "Annotating named entities in Twitter data with crowdsourcing", InProceedings, Proceedings of the NAACL Workshop on Creating Speech and Text Language Data With Amazon's Mechanical Turk, June 2010, 3168 downloads.

2009

P. McNamee, M. Dredze, A. Gerber, N. Garera, T. Finin, J. Mayfield, C. Piatko, D. Rao, D. Yarowsky, and M. Dreyer, "HLTCOE Approaches to Knowledge Base Population at TAC 2009", InProceedings, Proceedings of the 2009 Text Analysis Conference, November 2009, 1629 downloads, 6 citations.