Using Answer Set Programming in an Inference-Based approach to Natural Language Semantics

Farid Nouioua (1) , Pascal Nicolas (2)

1 LIPN - Laboratoire d'Informatique de Paris-Nord
2 LERIA - Laboratoire d'Etudes et de Recherche en Informatique d'Angers

In this paper we describe an inference-based approach to understand natural language. We present a fragment of Reiter's default logic and its use in representing knowlege about the norms of the car crashes domain. This fragment is used in a non-monotonic reasoning system to infer the cause of an accident from its description in the analyzed text. We present then a method to translate the default rules into Extended Logic Program in order to use Answer Set Programming to implement our system.

Domaines: Intelligence artificielle [cs.AI]

Farid Nouioua, Pascal Nicolas. Using Answer Set Programming in an Inference-Based approach to Natural Language Semantics. Inference in Computational Semantics ICoS-5, 2006, Buxton, France. pp.77-86. ⟨hal-00085158⟩