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Volumn , Issue , 2010, Pages 1081-1084
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A knowledge engineering approach to recognizing and extracting sequences of nucleic acids from scientific literature
a
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Author keywords
[No Author keywords available]
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Indexed keywords
FALSE POSITIVE;
FINITE STATE MACHINES;
GENETIC SEQUENCE;
INFORMATION EXTRACTION;
INFORMATION RETRIEVAL RESEARCH;
KNOWLEDGE BASE;
KNOWLEDGE ENGINEERING APPROACH;
PDF FORMAT;
SCIENTIFIC ARTICLES;
SCIENTIFIC LITERATURE;
TEST SETS;
TEXT MINING;
INFORMATION RETRIEVAL;
KNOWLEDGE BASED SYSTEMS;
KNOWLEDGE ENGINEERING;
NATURAL LANGUAGE PROCESSING SYSTEMS;
NUCLEIC ACIDS;
DATA MINING;
DNA;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
DATA MINING;
DNA SEQUENCE;
GENETICS;
METHODOLOGY;
MOLECULAR GENETICS;
NATURAL LANGUAGE PROCESSING;
NUCLEOTIDE SEQUENCE;
PUBLICATION;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
BASE SEQUENCE;
DATA MINING;
DNA;
MOLECULAR SEQUENCE DATA;
NATURAL LANGUAGE PROCESSING;
PATTERN RECOGNITION, AUTOMATED;
PERIODICALS AS TOPIC;
SEQUENCE ANALYSIS, DNA;
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EID: 78650842273
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2010.5627316 Document Type: Conference Paper |
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Times cited : (3)
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References (10)
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