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» Word Importance Discrimination Using Context Information
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ECML
2003
Springer
15 years 3 months ago
Learning Rules to Improve a Machine Translation System
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
David Kauchak, Charles Elkan
CORR
2007
Springer
100views Education» more  CORR 2007»
14 years 10 months ago
Identifying statistical dependence in genomic sequences via mutual information estimates
Questions of understanding and quantifying the representation and amount of information in organisms have become a central part of biological research, as they potentially hold th...
H. M. Aktulga, I. Kontoyiannis, L. A. Lyznik, Luka...
ICASSP
2008
IEEE
15 years 4 months ago
Modeling the intonation of discourse segments for improved online dialog ACT tagging
Prosody is an important cue for identifying dialog acts. In this paper, we show that modeling the sequence of acousticprosodic values as n-gram features with a maximum entropy mod...
Vivek Kumar Rangarajan Sridhar, Shrikanth Narayana...
TREC
2003
14 years 11 months ago
UIC at TREC-2003: Robust Track
In TREC 2003, the Database and Information System Lab (DBIS) at University of Illinois at Chicago (UIC) participate in the robust track, which is a traditional ad hoc retrieval ta...
Shuang Liu, Clement T. Yu
ECCV
2000
Springer
15 years 12 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...