Reading Group

Wednesdays 4:30 - 5:30 pm
620 CEPSR


Possible topics for discussion:
Question-Answering (general topics plus TREC systems)
Statistical  vs. knowledge-based approach
Automatically extracting lexical semantic information from text
Unsupervised grammar induction
Parsing/extracting discourse relations from text
Summarization



Date Paper
Presenter
September 18
Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews.
P. Turney,
ACL-2002

Thumbs up? Sentiment classification using machine learning techniques.

P. Pang, L. Lee, S. Vaithyanathan
EMNLP-2002

Predicting the semantic orientation of adjectives.
V. Hatzivassiloglou, K. McKeown
ACL-1997
Hong Yu

Vasileios Hatzivassiloglou
October 2
Inference in an Authorship Problem
Mosteller, Wallace
Journal of the Ameican Statistical Association, 1963
(the paper is 35 pages long, to get your copy contact Carl)

Little Words Can Make a Big Difference for Text Classification
E. Riloff
Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , pp. 130-136. (SIGIR-1995)
Carl Sable

October 16
S. Harabagiu, et al.
G. Lee, et al.
TREC-10

Elena Filatova
October 30
Statistical Learning Model of Text Classification with Support Vector Machines
T. Joachims
SIGIR-2001

A Re-Examination of Text Categorization Methods
Y. Yang, X. Liu
SIGIR-1999
Peter Davis
November 13
Pragmatics and Computational Linguistics
D. Jurafsky, 2002
To appear in Laurence R. Horn & Gregory Ward (eds.) Handbook of Pragmatics. Oxford: Blackwell

Discourse Segmentation by Human and Automated  Means
R. Passonneau, D. Litman
Computational Linguistics, 1997 23(1):103--139.
Becky Passonneau


contact:
Elena Filatova filatova [] cs.columbia.edu