En este artículo se presenta el trabajo que se está realizando para la llamada ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas estructurales de la popular base de conocimiento léxico. El resultado esperado es un recurso multilingüe más apropiado que los ahora existentes para el procesamiento semántico a gran escala.This paper presents the work carried out towards the so-called shallow ontologization of WordNet, which is argued to be a way to overcome most of the many structural problems of the widely used lexical knowledge base. The result shall be a multilingual resource more suitable for large-scale semantic processing
Este artigo apresenta o trabalho realizado para aplicar a WordNet MCR ao domínio linguístico e discu...
During the last two decades, the Computational Linguistics community has dedicated considerable effo...
In this paper, we present the project building new lexical resource -- shallow ontology derived from...
En este artículo se presenta el trabajo que se está realizando para la llamada ontologización super...
This paper presents the work carried out towards the so-called shallow ontologization of WordNet, wh...
ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas es...
This is the author’s version of a work that was accepted for publication in Journal Data & Knowled...
Semantic Web applications require robust and accurate annotation tools that are capable of automatin...
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous ...
Este artículo presenta una herramienta para integrar diferentes recursos basados en la estructura y ...
AbstractWe present an automatic approach to the construction of BabelNet, a very large, wide-coverag...
The data compiled through many Wordnet projects can be a rich source of seed information for a multi...
In this paper we present the enrichment of the Integration of Semantic Resources based in WordNet (I...
In spite of the growing of ontological engineering tools, ontology knowledge acquisition remains a h...
The final publication is available at Springer via http://dx.doi.org/10.1007/11428817_7Proceedings o...
Este artigo apresenta o trabalho realizado para aplicar a WordNet MCR ao domínio linguístico e discu...
During the last two decades, the Computational Linguistics community has dedicated considerable effo...
In this paper, we present the project building new lexical resource -- shallow ontology derived from...
En este artículo se presenta el trabajo que se está realizando para la llamada ontologización super...
This paper presents the work carried out towards the so-called shallow ontologization of WordNet, wh...
ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas es...
This is the author’s version of a work that was accepted for publication in Journal Data & Knowled...
Semantic Web applications require robust and accurate annotation tools that are capable of automatin...
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous ...
Este artículo presenta una herramienta para integrar diferentes recursos basados en la estructura y ...
AbstractWe present an automatic approach to the construction of BabelNet, a very large, wide-coverag...
The data compiled through many Wordnet projects can be a rich source of seed information for a multi...
In this paper we present the enrichment of the Integration of Semantic Resources based in WordNet (I...
In spite of the growing of ontological engineering tools, ontology knowledge acquisition remains a h...
The final publication is available at Springer via http://dx.doi.org/10.1007/11428817_7Proceedings o...
Este artigo apresenta o trabalho realizado para aplicar a WordNet MCR ao domínio linguístico e discu...
During the last two decades, the Computational Linguistics community has dedicated considerable effo...
In this paper, we present the project building new lexical resource -- shallow ontology derived from...