@inproceedings{thompson-etal-2025-discourse,
title = "Does discourse structure help action prediction? A look at Correction Triangles.",
author = "Thompson, Kate and
Chaturvedi, Akshay and
Asher, Nicholas",
editor = "Evang, Kilian and
Kallmeyer, Laura and
Pogodalla, Sylvain",
booktitle = "Proceedings of the 16th International Conference on Computational Semantics",
month = sep,
year = "2025",
address = {D{\"u}sseldorf, Germany},
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.iwcs-main.16/",
pages = "166--174",
ISBN = "979-8-89176-316-6",
abstract = "An understanding of natural language corrections is essential for artificial agents that are meant to collaborate and converse with humans. We present some preliminary experiments using language-to-action models investigating whether discourse structure, in particular Correction relations, improves the action prediction capabilities of language-to-action models for simple block world tasks. We focus on scenarios in which a model must correct a previous action, and present a corpus of synthetic dialogues to help explain model performance."
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%0 Conference Proceedings
%T Does discourse structure help action prediction? A look at Correction Triangles.
%A Thompson, Kate
%A Chaturvedi, Akshay
%A Asher, Nicholas
%Y Evang, Kilian
%Y Kallmeyer, Laura
%Y Pogodalla, Sylvain
%S Proceedings of the 16th International Conference on Computational Semantics
%D 2025
%8 September
%I Association for Computational Linguistics
%C Düsseldorf, Germany
%@ 979-8-89176-316-6
%F thompson-etal-2025-discourse
%X An understanding of natural language corrections is essential for artificial agents that are meant to collaborate and converse with humans. We present some preliminary experiments using language-to-action models investigating whether discourse structure, in particular Correction relations, improves the action prediction capabilities of language-to-action models for simple block world tasks. We focus on scenarios in which a model must correct a previous action, and present a corpus of synthetic dialogues to help explain model performance.
%U https://aclanthology.org/2025.iwcs-main.16/
%P 166-174
Markdown (Informal)
[Does discourse structure help action prediction? A look at Correction Triangles.](https://aclanthology.org/2025.iwcs-main.16/) (Thompson et al., IWCS 2025)
ACL