Papers by Eric Chu
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory (2020.aacl-main)
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| Challenge: | Empirical evidence suggests that the learnt persona embeddings can be effective in downstream tasks like hate speech detection. |
| Approach: | They propose a model that embeds personas from natural language into text . they evaluate the transferability of the model by simulating low-resource scenarios . |
| Outcome: | The proposed model can learn to embed persona from natural language and alleviate task or domain-specific data sparsity issues related to personas. |
Learning Personas from Dialogue with Attentive Memory Networks (D18-1)
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| Challenge: | Existing systems that can infer persona from dialogue can be used for computational narrative analysis and personalized dialogue generation. |
| Approach: | They propose neural models to learn persona embeddings in a character trope classification task using IMDB dialogue snippets. |
| Outcome: | The proposed methods could be applied to other domains, including personalized dialogue generation. |