CBR-Tagger: a case-based reasoning approach to the gene/protein mention problem
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Overview of BioNLP'09 shared task on event extraction
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Developing a robust part-of-speech tagger for biomedical text
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
A framework for biological event extraction from text
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Hi-index | 0.00 |
The BioNLP'09 Shared Task on Event Extraction presented an evaluation on the extraction of biological events related to genes/proteins from the literature. We propose a system that uses the case-based reasoning (CBR) machine learning approach for the extraction of the entities (events, sites and location). The mapping of the proteins in the texts to the previously extracted entities is carried out by some simple manually developed rules for each of the arguments under consideration (cause, theme, site or location). We have achieved an f-measure of 24.15 and 21.15 for Task 1 and 2, respectively.