Machine translation divergences: a formal description and proposed solution
Computational Linguistics
Text Mining at Detail Level Using Conceptual Graphs
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Information Retrieval with Conceptual Graph Matching
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
The KANT system: fast, accurate, high-quality translation in practical domains
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
The UNL initiative: an overview
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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An efficient use of the web will imply the ability to find not only documents but also specific pieces of information according to user's query. Right now, this last possibility is not tackled by current information extraction or question answering systems, since it requires both a deeper semantic understanding of queries and contents along with deductive capabilities. In this paper, the authors propose the use of Interlinguas as a plausible approach to search and extract specific pieces of information from a document, given the semantic nature of Interlinguas and their support for deduction. More concretely, the authors describe the UNL Interlinguas from the representational point of view and illustrate its deductive capabilities by means of an example.