Corpus annotation for mining biomedical events from literature
Open Access
- 8 January 2008
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 9 (1) , 10
- https://doi.org/10.1186/1471-2105-9-10
Abstract
Advanced Text Mining (TM) such as semantic enrichment of papers, event or relation extraction, and intelligent Question Answering have increasingly attracted attention in the bio-medical domain. For such attempts to succeed, text annotation from the biological point of view is indispensable. However, due to the complexity of the task, semantic annotation has never been tried on a large scale, apart from relatively simple term annotation.Keywords
This publication has 52 references indexed in Scilit:
- An environment for relation mining over richly annotated corpora: the case of GENIABMC Bioinformatics, 2006
- Lexical adaptation of link grammar to the biomedical sublanguage: a comparative evaluation of three approachesBMC Bioinformatics, 2006
- Building an abbreviation dictionary using a term recognition approachBioinformatics, 2006
- Implementing the iHOP concept for navigation of biomedical literatureBioinformatics, 2005
- Recognition of protein/gene names from text using an ensemble of classifiersBMC Bioinformatics, 2005
- GENETAG: a tagged corpus for gene/protein named entity recognitionBMC Bioinformatics, 2005
- ABNER: an open source tool for automatically tagging genes, proteins and other entity names in textBioinformatics, 2005
- Improving the performance of dictionary-based approaches in protein name recognitionJournal of Biomedical Informatics, 2004
- Kinase Pathway Database: An Integrated Protein-Kinase and NLP-Based Protein-Interaction ResourceGenome Research, 2003
- LMP1 structure and signal transductionSeminars in Cancer Biology, 2001