Communicating with Speakers and Listeners of Different Pragmatic Levels

Kata Naszadi, Frans A Oliehoek, Christof Monz


Abstract
This paper explores the impact of variable pragmatic competence on communicative success through simulating language learning and conversing between speakers and listeners with different levels of reasoning abilities. Through studying this interaction, we hypothesize that matching levels of reasoning between communication partners would create a more beneficial environment for communicative success and language learning. Our research findings indicate that learning from more explicit, literal language is advantageous, irrespective of the learner’s level of pragmatic competence. Furthermore, we find that integrating pragmatic reasoning during language learning, not just during evaluation, significantly enhances overall communication performance. This paper provides key insights into the importance of aligning reasoning levels and incorporating pragmatic reasoning in optimizing communicative interactions.
Anthology ID:
2024.emnlp-main.1213
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
21777–21783
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2024.emnlp-main.1213/
DOI:
10.18653/v1/2024.emnlp-main.1213
Bibkey:
Cite (ACL):
Kata Naszadi, Frans A Oliehoek, and Christof Monz. 2024. Communicating with Speakers and Listeners of Different Pragmatic Levels. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 21777–21783, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
Communicating with Speakers and Listeners of Different Pragmatic Levels (Naszadi et al., EMNLP 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/fix-sig-urls/2024.emnlp-main.1213.pdf
Software:
 2024.emnlp-main.1213.software.zip