152 search results - page 2 / 31 » A Generative Probabilistic OCR Model for NLP Applications |
NAACL
2004
13 years 6 months ago
2004
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
AAAI
2011
12 years 4 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
COLING
2000
13 years 6 months ago
2000
Previous stochastic approaches to generation do not include a tree-based representation of syntax. While this may be adequate or even advantageous for some applications, other app...
ACL
2009
13 years 2 months ago
2009
Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...