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Towards Pragmatic Production Strategies for Natural Language Generation Tasks

Giulianelli, Mario; (2022) Towards Pragmatic Production Strategies for Natural Language Generation Tasks. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. (pp. pp. 7978-7984). Association for Computational Linguistics Green open access

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Abstract

This position paper proposes a conceptual framework for the design of Natural Language Generation (NLG) systems that follow efficient and effective production strategies in order to achieve complex communicative goals. In this general framework, efficiency is characterised as the parsimonious regulation of production and comprehension costs while effectiveness is measured with respect to task-oriented and contextually grounded communicative goals. We provide concrete suggestions for the estimation of goals, costs, and utility via modern statistical methods, demonstrating applications of our framework to the classic pragmatic task of visually grounded referential games and to abstractive text summarisation, two popular generation tasks with real-world applications. In sum, we advocate for the development of NLG systems that learn to make pragmatic production decisions from experience, by reasoning about goals, costs, and utility in a human-like way.

Type: Proceedings paper
Title: Towards Pragmatic Production Strategies for Natural Language Generation Tasks
Event: 2022 Conference on Empirical Methods in Natural Language Processing
Dates: Dec 2022 - Dec 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.18653/v1/2022.emnlp-main.544
Publisher version: https://doi.org/10.18653/v1/2022.emnlp-main.544
Language: English
Additional information: © 1963–2025 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Linguistics
URI: https://discovery.ucl.ac.uk/id/eprint/10216485
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