Meaning-Text Theory within Abstract Categorial Grammars: Toward Paraphrase and Lexical Function Modeling for Text Generation

Marie Cousin


Abstract
The meaning-text theory is a linguistic theory aiming to describe the correspondence between the meaning and the surface form of an utterance with a formal device simulating the linguistic activity of a native speaker. We implement a version of a model of this theory with abstract categorial grammars, a grammatical formalism based on lambda-calculus. This implementation covers the syntax-semantic interface of the meaning-text theory, i.e., not only the three semantic, deep-syntactic and surface-syntactic representation levels of the theory, but also their interface (i.e., the transformation from one level to another). This implementation hinges upon abstract categorial grammars composition in order to encode level interfaces as transduction operate.
Anthology ID:
2023.iwcs-1.15
Volume:
Proceedings of the 15th International Conference on Computational Semantics
Month:
June
Year:
2023
Address:
Nancy, France
Editors:
Maxime Amblard, Ellen Breitholtz
Venue:
IWCS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
134–143
Language:
URL:
https://aclanthology.org/2023.iwcs-1.15
DOI:
Bibkey:
Cite (ACL):
Marie Cousin. 2023. Meaning-Text Theory within Abstract Categorial Grammars: Toward Paraphrase and Lexical Function Modeling for Text Generation. In Proceedings of the 15th International Conference on Computational Semantics, pages 134–143, Nancy, France. Association for Computational Linguistics.
Cite (Informal):
Meaning-Text Theory within Abstract Categorial Grammars: Toward Paraphrase and Lexical Function Modeling for Text Generation (Cousin, IWCS 2023)
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PDF:
https://aclanthology.org/2023.iwcs-1.15.pdf