Findings of the Association for Computational Linguistics: EMNLP 2023 2023
DOI: 10.18653/v1/2023.findings-emnlp.840
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Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches

Daniel Fried,
Nicholas Tomlin,
Jennifer Hu
et al.

Abstract: People rely heavily on context to enrich meaning beyond what is literally said, enabling concise but effective communication. To interact successfully and naturally with people, LLMs and other user-facing NLP systems will require similar skills in pragmatics: relying on various types of context-from shared linguistic goals and conventions, to the visual and embodied world-to use language effectively. We survey existing grounded settings and pragmatic modeling approaches and analyze how the task goals, environm… Show more

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