Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data (2024.acl-srw)
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| Challenge: | Using a few hundred annotated data points per topic, we detect content related to three German policies in a database of scraped webpages. |
| Approach: | They propose to use annotated data to train a binary classification task to detect topic-related content in a scraped database of webpages. |
| Outcome: | The proposed model detects content related to three German policies in a scraped database of scrapes of webpages using a few hundred annotated data points per topic. |
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