A pattern approach for biomedical event annotation

Authors:
Quang Le Minh;Son Nguyen Truong;Quoc Ho Bao
Affiliations:
University of Science, Ho Chi Minh City, Vietnam;University of Science, Ho Chi Minh City, Vietnam;University of Science, Ho Chi Minh City, Vietnam
Venue:
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Year:
2011

Citing 2
Cited 3

Extracting complex biological events with rich graph-based feature sets

BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Event extraction from trimmed dependency graphs

BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task

Overview of Genia event task in BioNLP Shared Task 2011

BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Overview of the entity relations (REL) supporting task of BioNLP Shared Task 2011

BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
New resources and perspectives for biomedical event extraction

BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe our approach for the GENIA Event Extraction in the Main Task of BioNLP Shared Task 2011. There are two important parts in our method: Event Trigger Annotation and Event Extraction. We use rules and dictionary to annotate event triggers. Event extraction is based on patterns created from dependent graphs. We apply UIMA Framework to support all stages in our system.