Leveraging Gene Ontology Annotations to Improve a Memory-Based Language Understanding System
Kevin M Livingston, Helen L Johnson, Karin Verspoor, Lawrence E Hunter
Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing | IEEE COMPUTER SOC | Published : 2010
This work evaluates how detailed knowledge about proteins can be leveraged for language understanding and disambiguation by OpenDMAP. OpenDMAP is a memory-based language understanding system that uses patterns to identify concepts in text. These patterns match not only lexical elements, such as words, but also semantic elements, such as references to proteins. This work started with an existing pattern set used to extract biological activation events from a corpus of GeneRIFs (sentences or phrases that each describe one of many of the functions of a gene). This is a challenging task because many distinct activation concepts, in addition to being semantically similar, are described using very..View full abstract
Awarded by NIH
This work is funded by NIH grants 3T15 LM009451-03S1 to K.L., 1R01 LM010120-01 to K.V., and R01 LM009254 and R01 LM008111 to L.H.