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 processingEn 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 escal
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
The paper deals with current lexical databases that are seen as a basis for broad-coverage general-p...
International audienceIn the present article, we focus on mining lexical semantic knowledge resource...
ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas es...
En este artículo se presenta el trabajo que se está realizando para la llamada ontologización super...
This paper deals with the ontology for natural language understanding. In particular, the paper focu...
The aim of the EuroWordNet-project is to develop a database with wordnets for several European langu...
The WordNet knowledge model is currently implemented in multiple software frameworks providing proce...
In spite of the growing of ontological engineering tools, ontology knowledge acquisition remains a h...
WordNet is an online lexical resource which expresses unique concepts in a language. English WordNet...
As a well-known semantic repository, WordNet is widely used in many applications. However, due to co...
This paper summarises a set of methodologies and techniques for the fast construction of multilingua...
Everybody knows WordNet, but do you know everything inside it? We propose here to rediscover WordNet...
In this paper we present the enrichment of the Integration of Semantic Resources based in WordNet (I...
Semantic nets are one of several ways of representing concepts and the words that lexicalize them. I...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
The paper deals with current lexical databases that are seen as a basis for broad-coverage general-p...
International audienceIn the present article, we focus on mining lexical semantic knowledge resource...
ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas es...
En este artículo se presenta el trabajo que se está realizando para la llamada ontologización super...
This paper deals with the ontology for natural language understanding. In particular, the paper focu...
The aim of the EuroWordNet-project is to develop a database with wordnets for several European langu...
The WordNet knowledge model is currently implemented in multiple software frameworks providing proce...
In spite of the growing of ontological engineering tools, ontology knowledge acquisition remains a h...
WordNet is an online lexical resource which expresses unique concepts in a language. English WordNet...
As a well-known semantic repository, WordNet is widely used in many applications. However, due to co...
This paper summarises a set of methodologies and techniques for the fast construction of multilingua...
Everybody knows WordNet, but do you know everything inside it? We propose here to rediscover WordNet...
In this paper we present the enrichment of the Integration of Semantic Resources based in WordNet (I...
Semantic nets are one of several ways of representing concepts and the words that lexicalize them. I...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
The paper deals with current lexical databases that are seen as a basis for broad-coverage general-p...
International audienceIn the present article, we focus on mining lexical semantic knowledge resource...