This work studies conceptual structures based on the Formal Concept Analysis method. We build these structures based on lexico-semantic information extracted from texts, among which we highlight the semantic roles. In our research, we propose ways to include semantic roles in concepts produced by this formal method. We analyze the contribution of semantic roles and verb classes in the composition of these concepts through structural measures. In these studies, we use the Penn Treebank Sample and SemLink 1.1 corpora, both in English
This paper provides guidelines and examples for visualising lexical relations using Formal Concept A...
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily...
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily...
Abstract. In this paper, we introduce Semantic Lattice (SemLat), a method that allows the constructi...
Among many other knowledge representations formalisms, Ontologies and Formal Concept Analysis (FCA) ...
International audienceWe present a semi-automated process that constructs an ontology based on a col...
International audienceWe propose an approach for semi-automated construction of ontologies from text...
Currently, conceptual analysis is effective in the linguistic analysis of a text, since it significa...
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowl...
An ontology is a formal, explicit specification of a domain. An important benefit of using an ontol...
Les ontologies sont diversement employées notamment dans les domaines du Web sémantique, de l’ingéni...
The problem of concept representation is relevant for many subfields of cognitive research, includin...
Equipe RCLNBuild an ontology is a tedious task, which still requires a great amount of manual work. ...
Abstract. Formal Concept Analysis (FCA) appears to be ideal for in-terpreting data in domains that a...
The compositional mechanisms involved in the comprehension and creation of concepts is of much inter...
This paper provides guidelines and examples for visualising lexical relations using Formal Concept A...
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily...
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily...
Abstract. In this paper, we introduce Semantic Lattice (SemLat), a method that allows the constructi...
Among many other knowledge representations formalisms, Ontologies and Formal Concept Analysis (FCA) ...
International audienceWe present a semi-automated process that constructs an ontology based on a col...
International audienceWe propose an approach for semi-automated construction of ontologies from text...
Currently, conceptual analysis is effective in the linguistic analysis of a text, since it significa...
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowl...
An ontology is a formal, explicit specification of a domain. An important benefit of using an ontol...
Les ontologies sont diversement employées notamment dans les domaines du Web sémantique, de l’ingéni...
The problem of concept representation is relevant for many subfields of cognitive research, includin...
Equipe RCLNBuild an ontology is a tedious task, which still requires a great amount of manual work. ...
Abstract. Formal Concept Analysis (FCA) appears to be ideal for in-terpreting data in domains that a...
The compositional mechanisms involved in the comprehension and creation of concepts is of much inter...
This paper provides guidelines and examples for visualising lexical relations using Formal Concept A...
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily...
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily...