Extracting biological names and relations from texts. Ting-Yi Sung 宋定懿 Bioinformatics Program, TIGP Institute of Information Science Academia Sinica 2004/12/16. Motivation. To automatically extract information from natural language text.
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Extracting biological names and relations from texts
Ting-Yi Sung 宋定懿
Bioinformatics Program, TIGP
Institute of Information Science
among Events and
Can be a regular English word, unknown word, Roman numeral, digit.
BioNLP 2004 Datasets
Construct boundary word
lists and dictionary
BE-1:boundary extension for nested NEs
BE-2:boundary extension for brackets and slashes
BE-3:with human name filter
RC-1: re-classification using dictionary lookup
RC-2: re-classification using R-boundary words
GENIA v3.02 (10 Fold-CV)
Recently, Zhou improve the F-measure of his HMM model to 0.712 by combining SVM
Disambiguation of abbreviation
Here we demonstrate that the c-myb proto-oncogene product, which is itself a
DNA-binding protein, and transcriptional transactivator, can interact
synergistically with Z.
Relation (Subject, Action, Object)
: (c-myb proto-oncogene product, interact, Z)