Paper Info
Title
Extracting Bio-molecular Events from literature - the BioNLP'09 Shared Task.
Abstract
This paper presents the preparation, results and analysis of the BioNLP09 shared task on event extraction, organized to address the automatic extraction of fine-grained information from the scientific literature on molecular biology. A representation of this information was defined taking into account both the biological and computational requirements of the task, and corpus resources manually annotated by domain experts provided to task participants. To create a basis for further progress, emphasis was placed on providing fine-grained evaluation that isolates different subtasks and allows the analysis of different aspects of the results through various evaluation criteria. In introducing this new task to the community, we made an effort to reduce the cost of participation by making common natural language processing tools, data, and evaluation methods easily accessible. The task received community-wide participation, establishing the state-of-the-art performance at fine-grained event extraction as well as allowing the identification of remaining challenges and suggesting directions for future improvements. All the resources and results of the shared task are publicly available and an online evaluation on blind test data accessible at .
Year
DOI
Venue
2011
10.1111/j.1467-8640.2011.00398.x
COMPUTATIONAL INTELLIGENCE
Keywords
Field
DocType
event extraction,molecular biology,natural language processing,shared task,text mining
Scientific literature,World Wide Web,Task analysis,Information retrieval,Computer science,Biomedical text mining,Test data,Artificial intelligence,Online evaluation,Machine learning
Journal
Volume
Issue
ISSN
27.0
4.0
0824-7935
Citations 
PageRank 
References 
25
0.96
1752
Authors
5
Search Limit
1001000
Name
Order
Citations
PageRank
Jin-Dong Kim1170592.21
Tomoko Ohta2179493.54
Sampo Pyysalo31941100.14
Yoshinobu Kano442430.19
Jun'ichi Tsujii53610232.96