Machine Learning and Natural Language
Wednesday/Friday 9:30 - 10:45,
- (04/29/2012) The project presentations will be on Friday 5/4, 8-11am, 3405SC. The Reports are due on Monday 5/7. Please check the homework page pointers and projects guidelines.
- (04/6/2012) Updates on the second project can be found in the
- (04/1/2012) The project presentation will be held on Wednesday, 4/4/12. Reports are due on the same day. See the
project page for details.
- (03/13/2012) There will be an additional lecture on Monday 3/26/2012. Please follow the schedule on the Lectures page.
- (03/13/2012) The lecture tomorrow will be devoted to a status report of the project. Please note an excellent and relevant SRL tutorial at:
- (02/16/2012) The slides describing the NLP tools you will be using in the project are
- (02/12/2012) Please note an important change in the schedule for this week. There will be no students' presentations this week. We will devote the time to preparing for the project. Please take a look at the schedule on the Lectures page
- (02/09/2012) The first project will be done in the context of the Semantic Textual Similarity shared task. Follow this page.
- (01/17/2012) Welcome to CS546
- (01/17/2012) CS546 this semester will be a lecture/seminar/projects class devoted to Structured Prediction and its application in NLP problems.
- (01/17/2012) The first meeting of the class is on Wednesday, 1/18/12, 1302 Siebel Center.
The class will be based mostly on papers that will be made available. The books are mentioned only for background reading
- Daniel Jurafsky and James H. Martin, Speech and Language Processing
, 2nd Edition, 2008
- Christopher D. Manning and Hinrich Schutze, Foundations of Statistical
Natural Language Processing , MIT Press 1999
- Eugene Charniak, Statistical Language Learning, MIT Press 1993
- Frederick Jelinek, Statistical Methods for Speech Recognition,
MIT Press 1998
- Steve Young and G. Bloothooft (Eds), Corpus-Based Methods in Language
and Speech Processing, Kluwer
- James Allen, Natural Language Understanding, Addison-Wesley