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    <abstract>In this paper, we provide an in-depth review of how the Gricean maxims have been used to develop and evaluate Natural Language Processing (NLP) systems. Originating from the domain of pragmatics, the Gricean maxims are foundational principles aimed at optimising communicative effectiveness, encompassing the maxims of Quantity, Quality, Relation, and Manner. We explore how these principles are operationalised within NLP through the development of data sets, benchmarks, qualitative evaluation and the formulation of tasks such as Data-to-text, Referring Expressions, Conversational Agents, and Reasoning with a specific focus on Natural Language Generation (NLG). We further present current works on the integration of these maxims in the design and assessment of Large Language Models (LLMs), highlighting their potential influence on enhancing model performance and interaction capabilities. Additionally, this paper identifies and discusses relevant challenges and opportunities, with a special emphasis on the cultural adaptation and contextual applicability of the Gricean maxims. While they have been widely used in different NLP applications, we present the first comprehensive survey of the Gricean maxims’ impact.</abstract>
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%0 Conference Proceedings
%T The Gricean Maxims in NLP - A Survey
%A Krause, Lea
%A Vossen, Piek T.J.M.
%Y Mahamood, Saad
%Y Minh, Nguyen Le
%Y Ippolito, Daphne
%S Proceedings of the 17th International Natural Language Generation Conference
%D 2024
%8 September
%I Association for Computational Linguistics
%C Tokyo, Japan
%F krause-vossen-2024-gricean-maxims
%X In this paper, we provide an in-depth review of how the Gricean maxims have been used to develop and evaluate Natural Language Processing (NLP) systems. Originating from the domain of pragmatics, the Gricean maxims are foundational principles aimed at optimising communicative effectiveness, encompassing the maxims of Quantity, Quality, Relation, and Manner. We explore how these principles are operationalised within NLP through the development of data sets, benchmarks, qualitative evaluation and the formulation of tasks such as Data-to-text, Referring Expressions, Conversational Agents, and Reasoning with a specific focus on Natural Language Generation (NLG). We further present current works on the integration of these maxims in the design and assessment of Large Language Models (LLMs), highlighting their potential influence on enhancing model performance and interaction capabilities. Additionally, this paper identifies and discusses relevant challenges and opportunities, with a special emphasis on the cultural adaptation and contextual applicability of the Gricean maxims. While they have been widely used in different NLP applications, we present the first comprehensive survey of the Gricean maxims’ impact.
%U https://aclanthology.org/2024.inlg-main.39
%P 470-485

Markdown (Informal)

[The Gricean Maxims in NLP - A Survey](https://aclanthology.org/2024.inlg-main.39) (Krause & Vossen, INLG 2024)

• The Gricean Maxims in NLP - A Survey (Krause & Vossen, INLG 2024)

ACL

• Lea Krause and Piek T.J.M. Vossen. 2024. The Gricean Maxims in NLP - A Survey. In Proceedings of the 17th International Natural Language Generation Conference, pages 470–485, Tokyo, Japan. Association for Computational Linguistics.