An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Using phrasal patterns to identify discourse relations
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Designing and evaluating patterns for ontology enrichment from texts
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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In this paper we propose an approach to automatically extract annotations by taking into account context in order to obtain a better representation of the document content. Our context is modelled by contextual relations built up from both the structure and the semantics of the text. Our approach requires text documents and a domain ontology as input. It automatically generates a set of contextual semantic annotations represented in RDF.