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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms

Por um escritor misterioso

Descrição
A new model for representing fine-grained lexical knowledge whose basis is the idea of granularity of representation is discussed. A machine translation system must be able to adequately cope with near-synonymy for there are often many slightly different translations available for any given source language word that can each significantly and differently affect the meaning or style of a translated text. Conventional models of lexical knowledge used in natural-language processing systems are inadequate for representing near-synonyms, because they are unable to represent fine-grained lexical knowledge. We will discuss a new model for representing fine-grained lexical knowledge whose basis is the idea of granularity of representation.
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
PDF) Ontology and the Lexicon
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
A generic metamodel for data extraction and generic ontology population - Yohann Chasseray, Anne-Marie Barthe-Delanoë, Stéphane Négny, Jean-Marc Le Lann, 2022
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
Ontology and the Lexicon
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
Databases and Systems
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
PDF) Distributed engineering of ontologies (diligent)
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
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PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
Data and Knowledge Evolution
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
An Intrepid Guide to OntologiesAI3:::Adaptive InformationAI3:::Adaptive Information
PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
A generic metamodel for data extraction and generic ontology population - Yohann Chasseray, Anne-Marie Barthe-Delanoë, Stéphane Négny, Jean-Marc Le Lann, 2022
de por adulto (o preço varia de acordo com o tamanho do grupo)