Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh
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, user-facing artificial intelligence 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, environmental contexts, and communicative affordances in each work enrich linguistic meaning. We present recommendations for future grounded task design to naturally elicit pragmatic phenomena, and suggest directions that focus on a broader range of communicative contexts and affordances.
BibTeX
@inproceedings{
fried2023pragmatics,
title={Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches},
author={Daniel Fried and Nicholas Tomlin and Jennifer Hu and Roma Patel and Aida Nematzadeh},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=Cx5vVkpsOY}
}