59 search results - page 1 / 12 » Representing Sentence Structure in Hidden Markov Models for ... |
IJCAI
2001
13 years 6 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
IJCAI
2003
13 years 6 months ago
2003
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
EMMCVPR
2009
Springer
13 years 11 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
ISMB
1994
13 years 6 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
AAAI
2000
13 years 6 months ago
2000
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...