Papers by Vincenzo Deufemia
MIMIC: Multi-party Dialogue Augmentation via Speaker Stylistic Transfer (2026.findings-eacl)
Copied to clipboard
| Challenge: | Existing discourse annotations are limited and annotated data scarcity has hindered progress in discourse parsing. |
| Approach: | They propose a framework for augmenting discourse-annotated corpora via speaker stylistic transfer using Large Language Models (LLMs). |
| Outcome: | The proposed framework outperforms parsers trained on STAC and Molweni corpora on a multi-party dialogue with consistent gains for underrepresented discourse patterns and in low-resource scenarios. |