SAEL-RMR
A Synergetic Approach to Extraction, Learning and Reasoning for Machine Reading
Aims
The automated discovery of meaningful knowledge in free text is a current research topic in the text mining and natural language processing fields. It is often referred to as “Machine Reading”. The aim of the fundamental research project SAEL-RMR is to find a synergy between information extraction from text, reasoning and machine learning. The application domain is the health domain.
The tasks of LIIR regard advanced information extraction techniques that combine extraction and inferencing.
Partners
Prof. Jesse Davis of KU Leuven coordinates this project. The other partner is the Computational Web Intelligence group of Ghent University (Prof. Martine De Cock, Dr. Steven Schockaert).
Results
First experiments were carried out with regard to relation detection in biomedical texts.
| Period | From 2012-01-01 to 2016-12-31. |
| Financed by | Research Foundation Flanders (FWO) (G.0356.12) |
| Supervised by | Marie-Francine Moens |
| Staff | Thomas Provoost |
| Contact | Marie-Francine Moens |
Publications
- PROVOOST, Thomas & MOENS, Marie-Francine Detecting Relations in the Gene Regulation Network. In Proceedings of BioNLP 2013. ACL. 2013
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