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» Text Mining for Medical Documents Using a Hidden Markov Mode...
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AIRS
2006
Springer
9 years 11 months ago
Text Mining for Medical Documents Using a Hidden Markov Model
Abstract. We propose a semantic tagger that provides high level concept information for phrases in clinical documents. It delineates such information from the statements written by...
Hyeju Jang, Sa-Kwang Song, Sung-Hyon Myaeng
JIIS
2002
168views more  JIIS 2002»
9 years 9 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
ICDAR
2003
IEEE
10 years 2 months ago
Text-indicated Writer Verification Using Hidden Markov Models
We propose an HMM-based text-indicated writer verification method, which is based on a challenge and response type of authentication process. In this method, a different text incl...
Yasushi Yamazaki, Tsuyoshi Nagao, Naohisa Komatsu
ACL
2006
9 years 10 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
IRI
2006
IEEE
10 years 3 months ago
Integration of low level linguistic information for clinical document semantic tagging
We propose a semantic tagger that provides high level concept information for phrases based on several kinds of low level information about words in clinical narrative texts. The ...
Hyeju Jang, Yun Jin, Sung-Hyon Myaeng
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