Modeling Complex Structures in Graph-FCA: Illustration on Natural Language Syntax

Sébastien Ferré (1) , Peggy Cellier (1)

1 LACODAM - Large Scale Collaborative Data Mining

Graph-FCA is an extension of formal concept analysis for multi-relational data. In this paper, we discuss the freedom of representation offered by Graph-FCA, in particular by its support of n-ary relations, considering natural language syntax as a use case.

Domaines: Intelligence artificielle [cs.AI]

Sébastien Ferré, Peggy Cellier. Modeling Complex Structures in Graph-FCA: Illustration on Natural Language Syntax. ETAFCA 2022 - Existing Tools and Applications for Formal Concept Analysis, Jun 2022, Tallinn, Estonia. pp.1-6. ⟨hal-03866048⟩