---
title: "Interpretation as Exception Minimization"
authors:
  - "Joachim Quantz"
doi: ""
url: "https://ijcai.org/proceedings/1993/181"
pdf: "https://ijcai.org/proceedings/1993/0181.pdf"
venue: "Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence"
year: 1993
pages: "1310-1317"
track: "Natural Language"
keywords:
---

# Interpretation as Exception Minimization

Joachim Quantz

*Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence*, pages 1310-1317.

## Abstract

Ambiguity is a notorious problem for Natural Language Processing. According to results obtained by Schmitz and Quantz I see disambiguation as a process in which contextual defaults are used to derive the most preferred interpretation of an expression. I show how contextual information comprising grammatical as well as conceptual knowledge can be modeled in a homogeneous manner using Terminological Logics (TL). I slightly modify the default extension to TL presented by Quantz and Royer to allow a relevance ordering between multi sets of defaults. The preferred interpretation is the one containing the fewest exceptions with respect to such an ordering. Interpretation is thus achieved by exception minimization. I combine this idea with deductive and abductive approaches to interpretation and show how they can be formalized in terms ofTL entailment. Furthermore, I obtain a variable depth of analysis by controling the granularity of interpretation via a set of relevant features.