AAAI 2026technical0 citations
Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints
Nicolò Penzo, Marco Guerini, Bruno Lepri, Goran Glavaš, Sara Tonelli
Abstract
Written Multi-Party Conversations (WMPCs) are widely studied across disciplines, with social media as a primary data source due to their accessibility. However, these datasets raise privacy concerns and often reflect platform-specific properties. For example, interactions between speakers may be limited due to rigid platform structures (e.g., threads, tree-like discussions), which yield overly simplistic interaction patterns (e.g., one-to-one ``reply-to
BibTeX
@inproceedings{aaai2026_dontstopthemulti,
title = {Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints},
author = {Nicolò Penzo and Marco Guerini and Bruno Lepri and Goran Glavaš and Sara Tonelli},
booktitle = {AAAI 2026},
year = {2026}
}