Tuesdays, 4:30-5:30 p.m.
Upson 5216
Seminar plans: This semester, we will convene largely as a reading group to present/discuss research papers from recent (usually this year's) NLP conferences. There may also be occasional work-in-progress talks. If you want to be added to the email announcement list please contact Claire Cardie: cardie@cs.cornell.edu.
Date | Paper | Presenter |
September 10 | Banko & Brill. Scaling to Very Very Large Corpora for Natural Language Disambiguation. ACL 2001. | Claire Cardie |
September 17 | Keller, Lapata, and Ourioupina. Using the Web to Overcome Data Sparseness. EMNLP 2002. (best paper award) | Filip Radlinski |
September 24 | Och and Ney. Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. ACL 2002. (best paper award) | Eric Breck |
October 1 | Eisner. Parameter Estimation for Probabilistic Finite-State Transducers. ACL 2002. | Hubie Chen |
October 8 | Ravichandran and Hovy. Learning surface text patterns for a Question Answering system. ACL 2002. | Ves Stoyanov |
October 15 |
***FALL BREAK*** |
|
October 22 | Clough, Gaizauskas, Piao and Wilks. METER: MEasuring TExt Reuse. ACL 2002. | Amanda Holland-Minkley |
October 29 | Narayanan and Jurafsky. A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing. NIPS 2001. | Bo Pang |
November 5 | Ion Muslea, Steve Minton, Craig Knoblock (2002). Active + Semi-Supervised Learning = Robust Multi-View Learning. In Proceedings of ICML-02. | Vincent Ng |
November 12 | Abney. Bootstrapping. ACL 2002. | Oren Kurland |
November 19 | Schulte im Walde and Brew. Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation Information. ACL 2002. | Rob Young |
November 26 |
*** THANKSGIVING BREAK*** |
|
December 3 | Information Science Seminar by Warren Sack.
***Meets in Upson 5130*** |
|
Next semester... | Marcu and Echihabi. An Unsupervised Approach to Recognizing Discourse Relations. ACL 2002. | Regina Barzilay |
Organizer: Claire Cardie
Previous runnings:
F98, S00, S01
(as Statistical Natural Language Processing: Models and Methods), F01, S02
See also the AI graduate
studies page or the
Cornell NLP
page.