GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data
Journal of Biomedical Informatics
Extraction of regulatory gene/protein networks from Medline
Bioinformatics
An online literature mining tool for protein phosphorylation
Bioinformatics
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
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
Incorporating GENETAG-style annotation to GENIA corpus
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Efficient HPSG parsing with supertagging and CFG-filtering
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Event extraction for post-translational modifications
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
Scaling up biomedical event extraction to the entire PubMed
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
Evaluating dependency representation for event extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Overview of BioNLP Shared Task 2011
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Generalizing biomedical event extraction
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
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Protein modifications, in particular post-translational modifications, have a central role in bringing about the full repertoire of protein functions, and the identification of specific protein modifications is important for understanding biological systems. This task presents a number of opportunities for the automatic support of manual curation efforts. However, the sheer number of different types of protein modifications is a daunting challenge for automatic extraction that has so far not been met in full, with most studies focusing on single modifications or a few prominent ones. In this work, aim to meet this challenge: we analyse protein modification types through ontologies, databases, and literature and introduce a corpus of 360 abstracts manually annotated in the BioNLP Shared Task event representation for over 4500 mentions of proteins and 1000 statements of modification events of nearly 40 different types. We argue that together with existing resources, this corpus provides sufficient coverage of modification types to make effectively exhaustive extraction of protein modifications from text feasible.