This paper describes how to automatically classify the functional relations from the FACTOTUM knowledge base via a statistical machine learning algorithm. This incorporates a method for inferring prepositional relation indicators from corpus data. It also uses lexical collocations (i.e., word associations) and class-based collocations based on the WordNet hypernym relations (i.e., is-subset-of). The result shows substantial improvement over a baseline approach.
["Tom O'Hara", 'Janyce Wiebe']
Classifying functional relations in factotum via WordNet hypernym associations