Papers by Yo-Han Park
Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning (2023.findings-emnlp)
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| Challenge: | Backchanneling is a form of feedback that is produced by listeners in a conversation . since the advent of ChatGPT, modern dialogue systems exhibit answer quality levels on par with humans in various professions. |
| Approach: | They propose a multi-task learning approach that learns textual representations for the task of backchannel prediction in tandem with dialogue act classification. |
| Outcome: | The proposed approach improves the prediction of specific backchannels by up to 2.0% in F1 . the audio encoder is pre-trained in a self-supervised fashion using voice activity projection . |
Improving Backchannel Prediction Leveraging Sequential and Attentive Context Awareness (2024.findings-eacl)
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| Challenge: | Backchannels are short and often affirmative or empathetic responses from a listener during a conversation . et al. (2010) showed that timely backchanneling can enhance storytelling ability . |
| Approach: | They propose a context-aware backchannel prediction approach that leverages a pretrained wav2vec model to enhance backchannel performance. |
| Outcome: | The proposed approach improves performance in Korean and English datasets . it leverages the pretrained wav2vec model for encoding audio signal . |