Papers by Kristopher Kyle
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions (2024.emnlp-main)
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| Challenge: | Argument structure constructions (ASCs) are lexicogrammatical patterns at the clausal level. |
| Approach: | They evaluate the effectiveness of pre-trained language models in identifying argument structure constructions . they use supervised training with RoBERTa and prompt-guided annotation with GPT-4 . |
| Outcome: | The proposed model outperforms the gold-standard model on three methods . the results show that the model performs better on gold-standardized data . |