Papers by Julia Vogt
This Reads Like That: Deep Learning for Interpretable Natural Language Processing (2023.emnlp-main)
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| Challenge: | In this work, we explore the extension of prototypical networks to natural language processing. |
| Approach: | They propose a weighted similarity measure that enhances the similarity computation by focusing on informative dimensions of pre-trained sentence embeddings. |
| Outcome: | The proposed method improves predictive performance on AG News and RT Polarity datasets and the rationale-based recurrent convolutions. |