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NAACL
2007
15 years 8 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
UAI
2001
15 years 8 months ago
Policy Improvement for POMDPs Using Normalized Importance Sampling
We present a new method for estimating the expected return of a POMDP from experience. The estimator does not assume any knowledge of the POMDP, can estimate the returns for finit...
Christian R. Shelton
INTERACT
2003
15 years 8 months ago
Desktop History: Time-based Interaction Summaries to Restore Context and Improve Data Access
The Desktop History Tool presents users with a summary of the data they worked with throughout past days and weeks. The user’s own interaction history provides an invaluable sel...
Sean Uberoi Kelly
ACL
1998
15 years 8 months ago
Improving Statistical Natural Language Translation with Categories and Rules
This paper describes an all level approach on statistical natural language translation (SNLT). Without any predefined knowledge the system learns a statistical translation lexicon...
Franz Josef Och, Hans Weber
BMVC
1998
15 years 8 months ago
Improving the Robustness of Cell Nucleus Segmentation
A highly successful active contour implementation, for the automatic segmentation of cervical cell nuclei, is shown to lend itself well to a framework that further increases its s...
Pascal Bamford, Brian C. Lovell