Automatic text processing
Information Retrieval
The Frame-Based Module of the SUISEKI Information Extraction System
IEEE Intelligent Systems
Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
A Pragmatic Information Extraction Strategy for Gathering Data on Genetic Interactions
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Constructing Biological Knowledge Bases by Extracting Information from Text Sources
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Information Retrieval: A Health and Biomedical Perspective
Information Retrieval: A Health and Biomedical Perspective
Extracting Biochemical Interactions from MEDLINE Using a Link Grammar Parser
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
A shallow parser based on closed-class words to capture relations in biomedical text
Journal of Biomedical Informatics
Using machine learning to extract drug and gene relationships from text
Using machine learning to extract drug and gene relationships from text
GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data
Journal of Biomedical Informatics
Term identification in the biomedical literature
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Mining knowledge from text using information extraction
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Gene name ambiguity of eukaryotic nomenclatures
Bioinformatics
Bioinformatics
Text Mining for Biology And Biomedicine
Text Mining for Biology And Biomedicine
Multi-way relation classification: application to protein-protein interactions
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Artificial Intelligence in Medicine
RelEx---Relation extraction using dependency parse trees
Bioinformatics
Hierarchical hidden Markov models for information extraction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
IntEx: a syntactic role driven protein-protein interaction extractor for bio-medical text
ISMB '05 Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics
Representing sentence structure in hidden Markov models for information extraction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Comparative experiments on learning information extractors for proteins and their interactions
Artificial Intelligence in Medicine
Learning rules to extract protein interactions from biomedical text
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Extracting protein-protein interactions from the literature using the hidden vector state model
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Applying Text Mining to Search for Protein Patterns
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Two learning approaches for protein name extraction
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Methodological Review: Text mining for traditional Chinese medical knowledge discovery: A survey
Journal of Biomedical Informatics
DTMBIO '10 Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics
Simplicity is better: revisiting single kernel PPI extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semi-supervised abstraction-augmented string kernel for multi-level bio-relation extraction
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Using a shallow linguistic kernel for drug-drug interaction extraction
Journal of Biomedical Informatics
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During the last decade, biomedicine has witnessed a tremendous development. Large amounts of experimental and computational biomedical data have been generated along with new discoveries, which are accompanied by an exponential increase in the number of biomedical publications describing these discoveries. In the meantime, there has been a great interest with scientific communities in text mining tools to find knowledge such as protein-protein interactions, which is most relevant and useful for specific analysis tasks. This paper provides a outline of the various information extraction methods in biomedical domain, especially for discovery of protein-protein interactions. It surveys methodologies involved in plain texts analyzing and processing, categorizes current work in biomedical information extraction, and provides examples of these methods. Challenges in the field are also presented and possible solutions are discussed.