Papers by Elena Senger
KARRIEREWEGE: A large scale Career Path Prediction Dataset (2025.coling-industry)
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| Challenge: | Career path prediction is a growing field, but available data and tools are limited. |
| Approach: | They propose Karrierewege, a publicly available career path prediction dataset . it combines career path data with ESCO taxonomy to provide valuable resource . |
| Outcome: | The career path prediction dataset Karrierewege surpasses existing datasets . the dataset is based on the ESCO taxonomy, which provides a common language for occupations and skills . |
Crossing Domains without Labels: Distant Supervision for Term Extraction (2025.emnlp-industry)
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| Challenge: | Current state-of-the-art methods require expensive human annotation and struggle with domain transfer, limiting their practical deployment. |
| Approach: | They propose a benchmark spanning seven diverse domains to evaluate ATE performance . they propose psuedo-labels and post-hoc heuristics to ensure generalizability . |
| Outcome: | The proposed model outperforms supervised cross-domain encoder models and few-shot learning baselines on the document- and corpus-levels and its GPT-4o teacher on the benchmark. |