224 search results - page 14 / 45 » A Hidden Markov Model for the TREC Novelty Task |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
EMNLP
2007
13 years 9 months ago
2007
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
ANLP
1997
13 years 9 months ago
1997
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...