709 search results - page 4 / 142 » A Probabilistic Computational Model of Cross-Situational Wor... |
ACL
2012
11 years 11 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
ACL
2009
13 years 6 months ago
2009
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
CRV
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
CONCUR
2009
Springer
14 years 3 months ago
2009
Springer
We propose how to present and compute a counterexample in probabilistic LTL model checking for discrete-time Markov chains. In qualitative probabilistic model checking, we present ...
ACL
1994
13 years 10 months ago
1994
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...