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» Bayesian Network, a Model for NLP
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AO
2005
147views more  AO 2005»
13 years 7 months ago
Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both?
There are a number of genuinely open questions concerning the use of domain models in nlp. It would be great if contributors to Applied Ontology could help addressing them rather ...
Massimo Poesio
CICLING
2009
Springer
13 years 4 months ago
NLP for Shallow Question Answering of Legal Documents Using Graphs
Abstract. Previous work has shown that modeling relationships between articles of a regulation as vertices of a graph network works twice as better than traditional information ret...
Alfredo Monroy, Hiram Calvo, Alexander F. Gelbukh
EMNLP
2008
13 years 8 months ago
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
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...
Jianfeng Gao, Mark Johnson
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
13 years 10 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
ICML
1996
IEEE
14 years 7 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton