作者
Anália Lourenço, Rafael Carreira, Sónia Carneiro, Paulo Maia, Daniel Glez-Pena, Florentino Fdez-Riverola, Eugénio C Ferreira, Isabel Rocha, Miguel Rocha
发表日期
2009/8/1
期刊
Journal of biomedical informatics
卷号
42
期号
4
页码范围
710-720
出版商
Academic Press
简介
Biomedical Text Mining (BioTM) is providing valuable approaches to the automated curation of scientific literature. However, most efforts have addressed the benchmarking of new algorithms rather than user operational needs. Bridging the gap between BioTM researchers and biologists’ needs is crucial to solve real-world problems and promote further research. We present @Note, a platform for BioTM that aims at the effective translation of the advances between three distinct classes of users: biologists, text miners and software developers. Its main functional contributions are the ability to process abstracts and full-texts; an information retrieval module enabling PubMed search and journal crawling; a pre-processing module with PDF-to-text conversion, tokenisation and stopword removal; a semantic annotation schema; a lexicon-based annotator; a user-friendly annotation view that allows to correct annotations …
学术搜索中的文章
A Lourenço, R Carreira, S Carneiro, P Maia… - Journal of biomedical informatics, 2009