An Unsupervised Method for General Named Entity Recognition and Automated Concept Discovery
Enrique Alfonseca, Suresh Manandhar · 2004
Knowledge Acquisition is still the bottleneck in building many kinds of applications, such as inference engines. We describe here a procedure to automatically extend an ontology with domain-specific knowledge. The main advantage of our approach is that it is completely unsupervised, so it can be applied to different languages and domains. Our initial results have been highly successful and we believe that with some improvement in accuracy it can be applied to large ontologies.