616 search results - page 67 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
128
click to vote
CIKM
2005
Springer
15 years 7 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
117
click to vote
ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
118
click to vote
KDD
2006
ACM
16 years 1 months ago
2006
ACM
Recent work has shown the feasibility and promise of templateindependent Web data extraction. However, existing approaches use decoupled strategies ? attempting to do data record ...
140
Voted
ICDIM
2010
IEEE
14 years 11 months ago
2010
IEEE
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
100
click to vote
ICASSP
2009
IEEE
15 years 5 months ago
2009
IEEE
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...