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        <title>Latent Factors of Discourse Type and Effectiveness in PERSUADE 2.0 for AES</title>
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    <abstract>Using PERSUADE 2.0 discourse segments, this study examines whether effectiveness labels carry stable linguistic meaning across discourse types. Traditional NLP features and latent components show robust type-by-effectiveness interactions. Length decomposition indicates much of this signal reflects elaboration, while smaller length-robust patterns remain, cautioning against context-free diagnostic feedback in automated writing evaluation.</abstract>
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%0 Conference Proceedings
%T Latent Factors of Discourse Type and Effectiveness in PERSUADE 2.0 for AES
%A Gui, Yi
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-2-4
%F gui-2026-latent
%X Using PERSUADE 2.0 discourse segments, this study examines whether effectiveness labels carry stable linguistic meaning across discourse types. Traditional NLP features and latent components show robust type-by-effectiveness interactions. Length decomposition indicates much of this signal reflects elaboration, while smaller length-robust patterns remain, cautioning against context-free diagnostic feedback in automated writing evaluation.
%U https://aclanthology.org/2026.aimecon-sessions.27/
%P 251-259

Markdown (Informal)

[Latent Factors of Discourse Type and Effectiveness in PERSUADE 2.0 for AES](https://aclanthology.org/2026.aimecon-sessions.27/) (Gui, AIME-Con 2026)

• Latent Factors of Discourse Type and Effectiveness in PERSUADE 2.0 for AES (Gui, AIME-Con 2026)

ACL

• Yi Gui. 2026. Latent Factors of Discourse Type and Effectiveness in PERSUADE 2.0 for AES. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 251–259, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).