The syntactic process
Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
A comparison study of biomedical short form definition detection algorithms
TMBIO '06 Proceedings of the 1st international workshop on Text mining in bioinformatics
Challenges in biological literature mining for online discovery of molecular interaction pathways
International Journal of Computer Applications in Technology
A look at parsing and its applications
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
ONTOGRABBING: Extracting Information from Texts Using Generative Ontologies
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Extracting protein-protein interactions in biomedical literature using an existing syntactic parser
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Artificial Intelligence in Medicine
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Biomedical information extraction is an area of research where the two disciplines of bioinformatics and natural language processing meet to address the shared recognition that some means of automatically extracting interesting pieces of information from the rapidly growing collection of archived biomedical literature must be sought for beyond simple keyword extraction.We review recent approaches to biomedical information extraction and illustrate the range of complexities in the biomedical literature data, in order to motivate and present an implemented system that utilizes a Combinatory Categorial Grammar as a full-fledged natural language grammar, which, though not tuned to the biomedical domain, shows a very encouraging performance to justify the use of a full grammar formalism.