Papers by Ekaterina Novozhilova
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation (2024.lrec-main)
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Ge Gao, Jongin Kim, Sejin Paik, Ekaterina Novozhilova, Yi Liu, Sarah T. Bonna, Margrit Betke, Derry Tanti Wijaya
| Challenge: | Existing methods for classifying discrete emotions from news headlines have been limited to using headlines. |
| Approach: | They propose to use people’s free-text explanations to classify emotions elicited by news headlines to generate emotion explanations from headlines. |
| Outcome: | The proposed method improves on methods that only use headlines and train a pretrained model for explanation generation. |