32 search results - page 4 / 7 » A Maximum Entropy Approach to Biomedical Named Entity Recogn... |
CICLING
2010
Springer
14 years 9 months ago
2010
Springer
Named Entity Recognition and Classification is being studied for last two decades. Since semantic features take huge amount of training time and are slow in inference, the existing...
ICPR
2010
IEEE
15 years 16 days ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
NLDB
2005
Springer
15 years 2 months ago
2005
Springer
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
BMCBI
2005
14 years 9 months ago
2005
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
ACL
2001
14 years 10 months ago
2001
In this paper we address the problem of extracting key pieces of information from voicemail messages, such as the identity and phone number of the caller. This task differs from t...