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Modeling Context Information for Computational Semantics with the Language of Acyclic Recursion

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Highlights in Practical Applications of Agents and Multiagent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 89))

Abstract

The paper explores the expressiveness of the \(L^{\lambda}_{ar}\) ar language for richly informative lexical semantics. It introduces an extended version of the language \(L^{\lambda}_{ar}\) ar to represent semantic information associated with lexemes that have denotations dependent on context information such as space and time locations, “speaker” or “listener” agents, and other potential context components. The technique is demonstrated by rendering referential lexical items such as demonstratives, deictic pronouns, and definite descriptions. It is applicable to any language with richly informative inflection structure.

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Loukanova, R. (2011). Modeling Context Information for Computational Semantics with the Language of Acyclic Recursion. In: Pérez, J.B., et al. Highlights in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19917-2_32

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  • DOI: https://doi.org/10.1007/978-3-642-19917-2_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19916-5

  • Online ISBN: 978-3-642-19917-2

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