Paper: POSBIOTM/W: A Development Workbench For Machine Learning Oriented Biomedical Text Mining System

ACL ID H05-2019
Title POSBIOTM/W: A Development Workbench For Machine Learning Oriented Biomedical Text Mining System
Venue Conference on Empirical Methods in Natural Language Processing
Session System Demonstration
Year 2005
Authors

, pages 36–37, Vancouver, October 2005. POSBIOTM/W: A Development Workbench For Machine Learning Oriented Biomedical Text Mining System ∗ Kyungduk Kim, Yu Song, Gary Geunbae Lee Department of Computer Science and Engineering Pohang University of Science & Technology (POSTECH) San 31, Hyoja-Dong, Pohang, 790-784, Republic of Korea {getta, songyu, gblee}@postech.ac.kr Abstract The POSBIOTM/W1 is a workbench for machine-learning oriented biomedical text mining system. The POSTBIOTM/W is intended to assist biologist in mining use- ful information efficiently from biomed- ical text resources. To do so, it pro- vides a suit of tools for gathering, manag- ing, analyzing and annotating texts. The workbench is implemented in Java, which means that it is platform-independent.