@inproceedings{ginn-etal-2026-first,
title = "A First Step towards Dialog Simulation with Grounded Dialog Graphs",
author = "Ginn, Michael and
Pauk, Matt and
Reese, Tava and
Gupta, Sameer and
Castellucci, Giuseppe and
Small, Kevin and
Moschitti, Alessandro and
Palmer, Derek and
Palmer, Martha and
Palmer, Alexis and
Pacheco, Maria",
editor = "Braud, Chlo{\'e} and
Hardmeier, Christian and
Ogrodniczuk, Maciej and
Loaiciga, Sharid and
Zeldes, Amir and
Nov{\'a}k, Michal and
Li, Chuyuan and
Strube, Michael and
Li, Junyi Jessy",
booktitle = "Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference ({CODI}-{CRAC} 2026)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.codi-1.11/",
pages = "78--108",
ISBN = "979-8-89176-400-2",
abstract = "n this work, we propose a method for dialog simulation to gather high-quality open-domain, multi-turn question answering conversations. The simulation is grounded on Stack Exchange posts and motivated by computational discourse theory. We first convert forum posts into structured directed graphs; then, different traversals through the graph represent possible conversational trajectories. Our proposed graph traversal algorithm produces dialogs optimized for conversational efficiency. In addition, we propose an evaluation framework based on Gricean conversational maxims. Expert-level human annotators evaluate 105 cooking domain transcripts according to our framework; dialogs produced by our method receive ratings that are competitive with dialogs from prior work."
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<abstract>n this work, we propose a method for dialog simulation to gather high-quality open-domain, multi-turn question answering conversations. The simulation is grounded on Stack Exchange posts and motivated by computational discourse theory. We first convert forum posts into structured directed graphs; then, different traversals through the graph represent possible conversational trajectories. Our proposed graph traversal algorithm produces dialogs optimized for conversational efficiency. In addition, we propose an evaluation framework based on Gricean conversational maxims. Expert-level human annotators evaluate 105 cooking domain transcripts according to our framework; dialogs produced by our method receive ratings that are competitive with dialogs from prior work.</abstract>
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%0 Conference Proceedings
%T A First Step towards Dialog Simulation with Grounded Dialog Graphs
%A Ginn, Michael
%A Pauk, Matt
%A Reese, Tava
%A Gupta, Sameer
%A Castellucci, Giuseppe
%A Small, Kevin
%A Moschitti, Alessandro
%A Palmer, Derek
%A Palmer, Martha
%A Palmer, Alexis
%A Pacheco, Maria
%Y Braud, Chloé
%Y Hardmeier, Christian
%Y Ogrodniczuk, Maciej
%Y Loaiciga, Sharid
%Y Zeldes, Amir
%Y Novák, Michal
%Y Li, Chuyuan
%Y Strube, Michael
%Y Li, Junyi Jessy
%S Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-400-2
%F ginn-etal-2026-first
%X n this work, we propose a method for dialog simulation to gather high-quality open-domain, multi-turn question answering conversations. The simulation is grounded on Stack Exchange posts and motivated by computational discourse theory. We first convert forum posts into structured directed graphs; then, different traversals through the graph represent possible conversational trajectories. Our proposed graph traversal algorithm produces dialogs optimized for conversational efficiency. In addition, we propose an evaluation framework based on Gricean conversational maxims. Expert-level human annotators evaluate 105 cooking domain transcripts according to our framework; dialogs produced by our method receive ratings that are competitive with dialogs from prior work.
%U https://aclanthology.org/2026.codi-1.11/
%P 78-108
Markdown (Informal)
[A First Step towards Dialog Simulation with Grounded Dialog Graphs](https://aclanthology.org/2026.codi-1.11/) (Ginn et al., CODI-CRAC 2026)
ACL
- Michael Ginn, Matt Pauk, Tava Reese, Sameer Gupta, Giuseppe Castellucci, Kevin Small, Alessandro Moschitti, Derek Palmer, Martha Palmer, Alexis Palmer, and Maria Pacheco. 2026. A First Step towards Dialog Simulation with Grounded Dialog Graphs. In Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026), pages 78–108, San Diego, California, USA. Association for Computational Linguistics.