Papers by Phil Ostheimer
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors (2025.findings-naacl)
Copied to clipboard
| Challenge: | Recent studies suggest that topic models do not align well with human intentions. |
| Approach: | They propose a method to align neural topic models with both labels and authorship information. |
| Outcome: | The proposed method improves existing models in terms of topic quality and alignment. |
A Call for Standardization and Validation of Text Style Transfer Evaluation (2023.findings-acl)
Copied to clipboard
| Challenge: | Text style transfer (TST) evaluation is inconsistent in practice. |
| Approach: | They conduct a meta-analysis on human and automated TST evaluation and experimentation . they find a standardization gap and a validation gap in the field . |
| Outcome: | The authors find that evaluation procedures are inconsistent and that they need to improve on them. |