Open AccessA COMPARATIVE STUDY OF WORD REPRESENTATION METHODS WITH CONDITIONAL RANDOM FIELDS AND MAXIMUM ENTROPY MARKOV FOR BIO-NAMED ENTITY RECOGNITION
Author(s) -
Maan Tareq,
Masnizah Mohd
Publication year - 2018
Publication title -
malaysian journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.197
H-Index - 18
ISSN - 0127-9084
DOI - 10.22452/mjcs.sp2018no1.2
Subject(s) - named entity recognition , computer science , conditional random field , crfs , artificial intelligence , sequence labeling , bag of words model , natural language processing , word2vec , representation (politics) , principle of maximum entropy , feature learning , conditional entropy , pattern recognition (psychology) , task (project management) , management , embedding , politics , political science , law , economics
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