28 search results - page 1 / 6 » A Maximum Entropy Tagger with Unsupervised Hidden Markov Mod... |
NLPRS
2001
Springer
13 years 9 months ago
2001
Springer
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
ANLP
2000
13 years 6 months ago
2000
This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Eac...
ACL
2007
13 years 6 months ago
2007
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
ACL
1998
13 years 6 months ago
1998
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...
EMNLP
2008
13 years 6 months ago
2008
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...