| Day |
Time & Location |
Speaker |
| May 16 |
NSH 1305
2:00-3:00 |
Jing Jiang, University of Illinois at Urbana-Champaign
Domain Adaptation in Natural Language Processing |
| May 8 |
NSH 1305
3:00-4:00 |
Jimmy Lin , University of Maryland
Fast, Easy and Cheap: Scalable Text Processing with MapReduce |
| April 21 |
NSH 1305
12:00-1:30 |
Gideon Mann, Google
Generalized Expectation Criteria for Semi-Supervised Learning |
| April 18 |
NSH 1305
2:00-300 |
Hiroshi Kanayama, Tokyo Research Laboratory, IBM
ESPER: Extractor of Sentiment and Preference ExpRessions |
| April 15 |
NSH 1305
3:30-5:00 |
Ronald M. Kaplan, Powerset Inc.
Powerset: Deep Natural Language Processing for Web-Scale Indexing and Retrieval |
| April 10 |
NSH 1305
3:00-4:30 |
Qin Jin, CMU
Robust Speaker Recognition
|
| March 21 |
NSH 1305
2:00-3:00 |
Robert Frederking, CMU
NineOneOne: Speech Translation for Spanish 9-1-1 Calls in the U.S. |
| March 7 |
NSH 1305
2:00-3:00 |
Alex Hauptmann, CMU
Video Analysis and Semantic Concepts for Multimedia Retrieval |
| February 29 |
NSH 1305
2:00-3:00 |
John Tait, The Information Retrieval Facility
Introduction to Patent Retrieval and the IRF |
| December 7 |
NSH 1305
2:00-3:00 |
Noah Smith, CMU
Statistical Parsing Triptych: Jeopardy, Morphosyntax, and
M-Estimation |
| November 16 |
NSH 1305
2:00-3:00 |
Eugene Fink, CMU
Reasoning Under Uncertainty |
| November 9 |
NSH 1305
2:00-3:00 |
Raul Valdes-Perez, CEO, Vivisimo
Enterprise search: Not your kid sister's search engine |
| November 2 |
NSH 1305
2:00-3:00 |
Luke Zettlemoyer, MIT
Learning to Map Sentences to Logical Form |
| October 26 |
NSH 1305
2:00-3:00 |
Guy Lebanon, Purdue University
Sequential Document Visualization |
| October 19 |
NSH 1305
2:00-3:00 |
Rayid Ghani, Accenture
Research Challenges in Enterprise Information Retrieval |
| October 5 |
NSH 1305
2:00-3:00 |
Rebecca Hwa, University of Pittsburgh
Learning Evaluation Metrics for Sentence-Level Machine-Translation |
| August 27 |
NSH 4513
2:00-3:00 |
Luo Si , Purdue University
A Knowledge Driven Regression Model in Micro-Array Data Analysis |
