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Conference Papers Year : 2013

Rationale, Concepts, and Current Outcome of the Unit Graphs Framework

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Abstract

The Unit Graphs (UGs) framework is a graph-based knowledge representation (KR) formalism that is designed to allow for the representation, manipulation, query, and reasoning over linguistic knowledge of the Explanatory Combinatorial Dictionary of the Meaning-Text Theory (MTT). This paper introduces the UGs framework, and overviews current published outcomes. It first introduces rationale of this new formalism: neither semantic web formalisms nor Conceptual Graphs can represent linguistic predicates. It then overviews the foundational concepts of this framework: the UGs are defined over a UG-support that contains: i) a hierarchy of unit types which is strongly driven by the actantial structure of unit types, ii) a hierarchy of circumstantial symbols, and iii) a set of unit identifiers. On these foundational concepts and on the definition of UGs, this paper finally overviews current outcomes of the UGs framework: the definition of a deep-semantic representation level for the MTT, representation of lexicographic definitions of lexical units in the form of semantic graphs, and two formal semantics: one based on UGs closure and homomorphism, and one based on model semantics.
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Dates and versions

hal-00857652 , version 1 (03-09-2013)

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  • HAL Id : hal-00857652 , version 1

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Maxime Lefrançois, Fabien Gandon. Rationale, Concepts, and Current Outcome of the Unit Graphs Framework. RANLP - 9th International Conference Recent Advances in Natural Language Processing, Sep 2013, Hissar, Bulgaria. pp.382-388. ⟨hal-00857652⟩
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