Papers by Jennifer Ecker
Labeling Results of Topic Models: Word Sense Disambiguation as Key Method for Automatic Topic Labeling with GermaNet (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing methods for topic modeling are not suitable for document classification, but they can be used to generate training data from large corpus. |
| Approach: | They propose to use topic modeling and automatic topic labeling to understand large corpora of text. |
| Outcome: | The proposed method is more accurate than existing methods. |