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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Semantic Relation Extraction for Systems Biology

Semantic Relation Extraction for Systems Biology

Barnickel, Thorsten

Paperback

General Computers

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ISBN10: 383811518X
ISBN13: 9783838115184
Publisher: Suedwestdeutscher Verlag Fuer
Published: Jun 26 2010
Pages: 172
Weight: 0.57
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
Due to the growing amount of literature, the need for automated extraction of relations between genes, metabolites and phenotypes from natural language text has steadily been increasing over the last years. Several algorithms for extracting knowledge from natural language texts have been developed and improved. This work aimed at the development of a broad scale text mining system covering a multitude of relation as well as entity types. The resulting text mining system EXCERBT was developed, optimized and evaluated in hindsight on practical usability rather than on optimized precision or recall values for a singular relation extraction task. EXCERBT is a dictionary based text mining system based on Semantic Role Labeling in combination with cooccurrence. The system allows semantic queries for genes causing a certain phenotype or miRNAs inhibiting a certain gene. In addition, EXCERBT comprises a new approach for automatically generating biomedical lexica by means of Semantic Role Labeling.

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