Papers by Christoph Weisser
Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class (2024.lrec-main)
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| Challenge: | Few-shot methods for accurate modeling under sparse label-settings are still challenging in document classification. |
| Approach: | They propose to combine supervised few-shot learning with a topic extraction method to generate coherent topics in large text corpora. |
| Outcome: | The proposed method outperforms unsupervised topic modeling methods in document classification. |
STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module (2024.acl-short)
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| Challenge: | Topic modeling is a widely used technique to analyze large document corpora. |
| Approach: | They propose a module for topic retrieval, exploration, and analysis that implements multiple intruder-word based topic evaluation metrics. |
| Outcome: | The proposed module implements multiple intruder-word based topic evaluation metrics and extends existing datasets. |