Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Using a lexicon of canonical graphs in a semantic interpreter
Relational models of the lexicon
CoDHIR: an information retrieval system based on semantic document representation
Journal of Information Science
Integrating top-down and bottom-up strategies in a text processing system
ANLC '88 Proceedings of the second conference on Applied natural language processing
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Computational lexicons: the neat examples and the odd exemplars
ANLC '92 Proceedings of the third conference on Applied natural language processing
Hypertext authoring for linking relevant segments of related instruction manuals
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
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It is common opinion that current hypertextual systems do not allow to express objectively the information content of documents, but only the view of the "author". The hyperlink building requires an heavy and highly specialised human intervention: this task is very expensive whenever possible!A different approach, based on NLP methodologies, aiming at automatizing the development of an hypertext, is hereafter proposed. Anchorage points are inferred both from content and structure of documents. A semantic lexicon based on conceptual graph structures is used to guide text understanding. Contextual roles are introduced to model domain specific concepts relevant to the navigation. An off-line activation of useful links has been defined according to explicit user specifications. A simple declarative language (HyDeL) for the definition of such links is availale to the user to create his own views on the document base. HERMES is a prototype system implementing our approach. The paper discusses the semantic processing of a document base and highlights the performance of different hypertextual systems derived by HERMES over different languages and knowledge domains.