The nature of statistical learning theory
The nature of statistical learning theory
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Conceptual structuring through term variations
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
An Issue-Based Approach to Information Search Modelling: Analysis of a Human Dialog Corpus
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Automatic indexing of online health resources for a French quality controlled gateway
Information Processing and Management: an International Journal
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The Semantic Web (SW) originally aims at studying a system interoperability based on a shared common knowledge base (ontology). Henceforth, the SW sets its heart on a semantic coordination of community parlance representative resources (in complement to a common knowledge base shared by the users). The matter is not only to use techniques to handle a large amount of data, but also to use approaches to keep the community parlance features. Thus, Web documents and folksonomies are the main semantic vehicle. They are little structured and Natural Language Processing (NLP) methods are then beneficial to analyze language specificities with a view to automating tasks about text. This paper describes a use of NLP techniques for the SW through a document engineering application: the information retrieval in a catalogue of online medical resources. Our approach emphasizes benefits of NLP techniques to handle multi-granular terminological resources.