94 search results - page 9 / 19 » Multi-Criteria-based Active Learning for Named Entity Recogn... |
CIKM
2005
Springer
14 years 2 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...
ACL
2003
13 years 10 months ago
2003
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
Biomedical literature is an important source of information for chemical compounds. However, different representations and nomenclatures for chemical entities exist, which makes th...
CSL
2008
Springer
13 years 8 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...
COLING
2010
2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
13 years 3 months ago
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...