32 search results - page 6 / 7 » A Maximum Entropy Approach to Biomedical Named Entity Recogn... |
BMCBI
2005
13 years 10 months ago
2005
In task 1A of the BioCreAtIvE evaluation, systems had to be devised that recognize words and phrases forming gene or protein names in natural language sentences. We approach this ...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
KDD
2006
ACM
14 years 11 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
BMCBI
2008
13 years 11 months ago
2008
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
CSL
2008
Springer
13 years 11 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...