35 search results - page 1 / 7 » Unsupervised Named Entity Classification Models and their En... |
COLING
2002
13 years 4 months ago
2002
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
ACL
2007
13 years 6 months ago
2007
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
ICASSP
2010
IEEE
12 years 11 months ago
2010
IEEE
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
KES
2007
Springer
13 years 11 months ago
2007
Springer
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...