Papers by Nyoungwoo Lee

2 papers
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task (2022.emnlp-main)

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Challenge: Existing methods for synthesizing adversarial negative responses are limited by their scalability and cost.
Approach: They propose a method for generating adversarial negative responses using a large-scale language model.
Outcome: The proposed method outperforms other methods on dialogue selection tasks.
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images (2021.acl-short)

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Challenge: Existing training methods for multi-modal dialogue systems rely on image captioning or visual question answering datasets that are irrelevant to the dialogue context.
Approach: They propose to create a 45k multi-modal dialogue dataset with minimal human intervention . they use text dialogue datasets, image-mixed dialogues and contextual-similarity filtering .
Outcome: The proposed dataset can be used as training data for multi-modal dialogue systems . human evaluations show that the model can be effectively used .

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