Papers by Sanae Yamashita

2 papers
Optimal Summaries for Enabling a Smooth Handover in Chat-Oriented Dialogue (2022.aacl-srw)

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Challenge: In dialogue systems, it is difficult to provide fully autonomous dialogue . to ensure a good dialogue experience, human operators sometimes need to intervene .
Approach: They conducted large-scale experiments on chat dialogues to determine which type of summary is most useful for handover . abstractive summary plus one utterance immediately before handover and extractive summary consisting of five utterrances immediately before the handover were found to be the most useful .
Outcome: The best summaries were abstractive summary plus one utterance before handover and extractive summary consisting of five utterrances before hand over.
Data Collection for Empirically Determining the Necessary Information for Smooth Handover in Dialogue (2022.lrec-1)

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Challenge: Despite advances in deep learning, dialogue systems struggle to achieve fully autonomous transactions with users.
Approach: They conducted an experiment in which two operators switched periodically while performing chat, consultation, and sales tasks in dialogue.
Outcome: The results show that adjacency pairs are useful for recording conversation history . key-value pairs are also useful when there are underlying tasks, such as consultation and sales .

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