Our mission is to harvest and curate the wealth of knowledge encoded in text: the people, content, things, connections between them, and activities around them. We mobilize research and advanced technology projects for the Technology arm of MSR (MSR-T) by adapting, developing and integrating state-of-the-art technology from areas such as NLP, text mining, machine learning, knowledge extraction, and knowledge representation, while building end to end interactive knowledge experiences in close collaboration with partners across MSR and product teams.
Patrick conducts research in large-scale natural language processing, text mining, and knowledge acquisition. Prior he served as a Research Manager at Yahoo! Labs, and as a Research Assistant Professor at the USC Information Sciences Institute. In 2003, he received a Ph.D. in Computing Science from the University of Alberta in Edmonton, Canada.
Michael has been a member of the NLP group in MSR for more than 17 years. He has done research and collaborated with colleagues across MSR in a wide range of NLP areas, such as grammar engineering, natural language generation, sentiment detection, automatic grammar error detection/correction, social media analysis, salience and intent modeling.
Y. C. Yu: Yun-Cheng (Y.C.) Ju joined Microsoft in 1994. His research interests include spoken dialog systems, natural language processing, language modeling, voice search, and machine learning. Prior to joining Microsoft, he worked at Bell Labs for two years.
Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault, Automated Grammatical Error Detection for Language Learners, Second Edition, Morgan & Claypool, March 2014
Michael Gamon, Tae Yano, Xinying Song, Johnson Apacible, and Patrick Pantel, Identifying Salient Entities in Web Pages, ACM International Conference on Information and Knowledge Management (CIKM), 1 November 2013
Seungyeop Han, Matthai Philipose, and Yun-Cheng Ju, NLify: Third-Party Programming Support for Spoken Natural Language Interfaces, no. MSR-TR-2012-128, December 2012
Patrick Pantel, Michael Gamon, Omar Alonso, and Kevin Haas, Social Annotations: Utility and Prediction Modeling. , ACM, August 2012
Patrick Pantel, Thomas Lin, and Michael Gamon, Mining Entity Types from Query Logs via User Intent Modeling, Association for Computational Linguistics, July 2012
Munmun De Choudhury, Michael Gamon, and Scott Counts, Happy, Nervous or Surprised? Classification of Human Affective States in Social Media, Association for the Advancement of Artificial Intelligence, June 2012
Thomas Lin, Patrick Pantel, Michael Gamon, Anitha Kannan, and Ariel Fuxman, Active Objects: Actions for Entity-Centric Search, in World Wide Web, ACM, April 2012
Yoav Artzi, Patrick Pantel, and Michael Gamon, Predicting Responses to Microblog Posts, ACL/SIGPARSE, 2012
Yun-Cheng Ju and Jasha Droppo, Automatically Optimizing Utterance Classification Performance without Human in the Loop, in Interspeech, International Speech Communication Association, 28 August 2011
Patrick Pantel and Ariel Fuxman, Jigs and Lures: Associating Web Queries with Strongly-Typed Entities, in Proceedings of Association for Computational Linguistics - Human Language Technology (ACL-HLT-11), June 2011
Cristian Danescu-Niculescu-Mizil, Michael Gamon, and Susan Dumais, Mark My Words! Linguistic Style Accommodation in Social Media., in Proceedings of WWW 2011, Hyderabad, India., ACM, 1 April 2011
Eric Crestan and Patrick Pantel, Web-Scale Table Census and Classification, in Proceedings of Web Search and Data Mining (WSDM-11), 2011
Shamsi T. Iqbal, Yun-Cheng Ju, and Eric Horvitz, Cars, Calls and Cognition: Investigating Driving and Divided Attention, in ACM Conference on Human Factors in Computing Systems (CHI), Association for Computing Machinery, Inc., 2010
Yun-Cheng Ju and Tim Paek, A Voice Search Approach to Replying to SMS Messages in Automobiles, International Speech Communication Association, September 2009
Arnd Christian König, Michael Gamon, and Qiang Wu, Click-Through Prediction for News Queries , in 32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009), Association for Computing Machinery, Inc., July 2009
Yun-Cheng Ju and Julian Odell, A Language-Modeling Approach to Inverse Text Normalization and Data Cleanup, International Speech Communication Association, September 2008
Xiao Li, Y.-C. Ju, Geoffrey Zweig, and Alex Acero, Language modeling for voice search: a machine translation approach, in ICASSP, March 2008
Simon H. Corston-Oliver, Eric Ringger, Michael Gamon, and Richard Campbell, Integration of Email and Task Lists, American Association for Artificial Intelligence , July 2004