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The project LE-SIMPLE is an innovative attempt of building harmonized syntactic-semantic lexicons for 12 European languages, aimed at use in different Human Language Technology applications. SIMPLE provides a general design model for the encoding of a large amount of semantic information, spanning from ontological typing, to argument structure and(More)
The evaluation of the quality of ontological classification is an important part of semantic web technology. Because this area is under constant development, it requires improvement and standardisation. This paper discusses existing evaluation metrics, and proposes a new method for evaluating the ontology population task, which is general enough to be used(More)
This paper addresses ways in which we envisage to reduce the fine-grainedness of WordNet and express in a more systematic way the relations between its numerous sense distinctions. In the EuroWordNet project, we have distinguished various automatic methods for grouping senses into more coarse-grained sense groups. These resulting clusters reflect aspects of(More)
Suplementary notes n.a. Abstract This deliverable describes the EuroWordNet top ontology, the selection of the Base Concepts and the classification of these Base Concepts in terms of the top ontology. Status of the abstract Complete Received on Recipient's catalogue number Executive Summary In this document we describe the EuroWordNet Top Ontology and the(More)
Ontology generation and population is a crucial part of knowledge base construction and maintenance that enables us to relate text to ontologies, providing a rich and customised ontology related to the data and domain with which we are concerned. SPRAT combines aspects from traditional named entity recognition, ontology-based information extraction and(More)
This chapter investigates NLP techniques for ontology population, using a combination of rule-based approaches and machine learning. We describe a method for term recognition using linguistic and statistical techniques, making use of contex-tual information to bootstrap learning. We then investigate how term recognition techniques can be useful for the(More)