Instance Based Lexical Entailment for Ontology Population

In this paper we propose an instance based method for lexical entailment and apply it to automatic ontology population from text. The approach is fully unsupervised and based on kernel methods. We demonstrate the effectiveness of our technique largely surpassing both the random and most frequent baselines and outperforming current state-of-the-art unsupervised approaches on a benchmark ontology available in the literature.

• Type: Conference
• Year: 2007
• Where: EMNLP
• Authors: Claudio Giuliano, Alfio Massimiliano Gliozzo
• Keywords: Automatic Ontology Population, EMNLP 2007, Instance Based Method, Natural Language Processing, State-of-the-art Unsupervised Approaches