Papers by Zhihua Su
Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision (2022.coling-1)
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| Challenge: | Existing models for textual dialogues do not include speaker annotations. |
| Approach: | They propose a speaker clustering model for textual dialogues that groups utterances without annotations so that the actual speakers are identical inside each cluster. |
| Outcome: | The proposed model outperforms the sequence classification baseline and benefits from the auxiliary dialogue act classification task. |