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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)
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)
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstruc-tured, in order to analyse for example financial risk, operational risk factors, follow trends and perform credit risk management. While traditional data mining tools make use of numerical data and cannot easily be applied to(More)
The LOIS project encompasses the construction of a large, multilingual WordNet for cross-lingual information retrieval in the legal domain. In this article, we set out how a hybrid approach, featuring lexically and legally grounded conceptual representations, can fit the cross-lingual information retrieval needs of both legal professionals and laymen. With(More)