32 search results - page 5 / 7 » A Maximum Entropy Approach to Biomedical Named Entity Recogn... |
ACL
2008
14 years 10 days ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
COLING
2010
2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
13 years 5 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...
BMCBI
2006
13 years 11 months ago
2006
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
BMCBI
2008
13 years 11 months ago
2008
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
IWANN
2009
Springer
14 years 5 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...