Papers by Chris Parnin
TeCoFeS: Text Column Featurization using Semantic Analysis (2025.findings-naacl)
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| Challenge: | Existing methods for topic modeling and feature extraction are based on syntactic features and overlook the semantics. |
| Approach: | They propose a semantic text column featurization problem that extracts a small sample smartly using an LLM to label only the sample and then extends that labeling to the whole column using text embeddings. |
| Outcome: | The proposed approach performs better than baselines and naive use of LLMs. |