Онтология домена
Related Papers
Learning to Generate Naturalistic Utterances Using Reviews in Spoken Dialogue Systems
Spoken language generation for dialogue systems requires a dictionary of mappings between semantic representations of con- cepts the system wants to express and re- alizations of those concepts. Dictionary creation …...
Text Content and Task Performance in the Evaluation of a Natural Language Generation System
An important question in the evaluation of Natu- ral Language Generation systems concerns the re- lationship between textual characteristics and task performance. If the results of task-based evalua- tion can …...
UMCC-DLSI: Integrative Resource for Disambiguation Task
This paper describes the UMCC-DLSI system in SemEval-2010 task number 17 (All-words Word Sense Disambiguation on Specific Domain). The main purpose of this work is to evaluate and compare our …...
Semantic Annotation in Specific Domains with rich Ontologies (Annotation sémantique pour des domaines spécialisés et des ontologies riches) [in French]
Semantic Annotation in Specific Domains with rich Ontologies Technical documentations are generally difficult to explore and maintain. Powerful tools can help, but they require that the documents have been semantically …...
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain
AbstractWe present a gold standard for the evaluation of Cross Language Information Retrieval systems in the domain of Organic Agriculture and AgroEcology. The presented resource is free to use for …...
Sharing Cultural Heritage: the Clavius on the Web Project
AbstractIn the last few years the amount of manuscripts digitized and made available on the Web has been constantly increasing. However, there is still a considarable lack of results concerning …...
Domain Ontology Learning Enhanced by Optimized Relation Instance in DBpedia
AbstractOntologies are powerful to support semantic based applications and intelligent systems. While ontology learning are challenging due to its bottleneck in handcrafting structured knowledge sources and training data. To address …...