Papers by Hubert Naacke
Contextualized Topic Coherence Metrics (2024.findings-eacl)
Copied to clipboard
| Challenge: | Existing topic models that estimate the interpretability of topics are difficult to compare due to their nature as unsupervised models. |
| Approach: | They propose to use contextualized topic coherence metrics to simulate human-centered coherency evaluation while maintaining the efficiency of other automated methods. |
| Outcome: | The proposed metrics better reflect human judgment on topics extracted from short text collections by avoiding highly scored topics that are meaningless to humans. |