Neurosymbolic AI for Natural Language Inference in French : combining LLMs and theorem provers for semantic parsing and natural language reasoning

Authors

Simon Robillard (ORCID: https://orcid.org/0000-0003-4751-380X)
Richard Moot (ORCID: https://orcid.org/0000-0002-6450-1600)
Christian Retoré (ORCID: https://orcid.org/0000-0002-2401-9158)
Maximos Skandalis (ORCID: https://orcid.org/0000-0003-2361-5115)
Lasha Abzianidze (ORCID: https://orcid.org/0000-0003-4169-2202)

Institutions

Centre National de la Recherche Scientifique (FR)
Utrecht University (NL)
Université de Montpellier (FR)
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-09-22
Primary Topic: Natural Language Processing Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Neurosymbolic AI for Natural Language Inference in French : combining LLMs and theorem provers for semantic parsing and natural language reasoning

Simon Robillard, Richard Moot, Christian Retoré, Maximos Skandalis et al.

Sep 22, 2025

SPIRE - Sciences Po Institutional REpository

Natural Language Processing Techniques

article

Neurosymbolic AI for Natural Language Inference in French : combining LLMs and theorem provers for semantic parsing and natural language reasoning

Simon Robillard, Richard Moot, Christian Retoré, Maximos Skandalis, Lasha Abzianidze

September 22, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Centre National de la Recherche Scientifique (FR), Utrecht University (NL), Université de Montpellier (FR), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)

Openalex Percentile: Top 82%

Natural Language Processing Techniques

Open Access PDF OpenAlex

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