Skip to Main content Skip to Navigation
Book sections

Challenges in the Computational Implementation of Montagovian Lexical Semantics

Abstract : We present and discuss a general-purpose implementation of the process of lexical semantics analysis theorised in the Montagovian Generative Lexicon ΛTY n (hereafter MGL). The prototype software itself constitutes a proof of concept of the MGL theory. The implementation process, as well as the data structures and algorithms, also provide valuable results as to the expressive power required by MGL. While the implementation of terms and types for the purpose of meaning assembly assumed by MGL is in itself straightforward, some lexical phenomena require additional mechanisms in order to process the logical representation in order to take into account implicit common-sense world knowledge. We therefore also present a minimal architecture for knowledge representation, and how it can be applied to different phenomena. The implementation illustrates the validity of the theory, but MGL requires a stronger corpus of types and terms in order to be thoroughly tested.
Document type :
Book sections
Complete list of metadata

Cited literature [31 references]  Display  Hide  Download

https://hal.inria.fr/hal-01559219
Contributor : Bruno Mery <>
Submitted on : Monday, July 10, 2017 - 2:54:32 PM
Last modification on : Thursday, April 18, 2019 - 6:54:01 PM

File

mery_lenls13_postproceedings_f...
Files produced by the author(s)

Identifiers

Collections

Citation

Bruno Mery. Challenges in the Computational Implementation of Montagovian Lexical Semantics. New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops Revised Selected Papers, 14, Springer, pp.90-107, 2017, 978-3-319-61572-1. ⟨10.1007/978-3-319-61572-1_7⟩. ⟨hal-01559219⟩

Share

Metrics

Record views

71

Files downloads

341