For meaning representations in NLP, we focus our attention on thematic aspects and conceptual vectors. The learning strategy of conceptual vectors relies on a morphosyntaxic analy...
Didier Schwab, Mathieu Lafourcade, Violaine Prince
Semantic lexicons and lexical ontologies are some major resources in natural language processing. Developing such resources are time consuming tasks for which some automatic metho...
Conceptual vectors can be used to represent thematic aspects of text segments, which allow for the computation of semantic relatedness. We study the behavior of conceptual vectors ...
In this paper, we focus on lexical semantics, a key issue in Natural Language Processing (NLP) that tends to converge with conceptual Knowledge Representation (KR) and ontologies....
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...