JSAI2023

Presentation information

Organized Session

Organized Session » OS-2

[2O6-OS-2b] 人間と共生する対話知能

Wed. Jun 7, 2023 5:30 PM - 7:10 PM Room O (E1+E2)

オーガナイザ:新保 史生、東中 竜一郎、吉川 雄一郎

6:50 PM - 7:10 PM

[2O6-OS-2b-05] A time-specific dialogue model with reranking methods using a measure of time-dependency

〇Yuiko Tsunomori1, Hiroaki Sugiyama1, Masakazu Ishihata1 (1. NIPPON TELEGRAPH AND TELEPHONE CORPORATION)

Keywords:Chat-oriented dialogue system, Lage-scale Transformers model, Time information

Chat-oriented dialogue systems have been drastically improved by large-scale encoder-decoder models because large-scale datasets enable the systems to generate various responses.
In recent years, it has been found that dialogue systems can improve user impressions by generating responses specific to various types of information.
One type of information is time, but it is not known whether time-specific responses improve user impressions like other types of information because time information has no content.
In this paper, we examine whether a time-specific dialogue model (time-specific dialogue model) can improve user impressions.
Specifically, we propose a quantitative measure of the time-dependency of responses and construct the time-specific dialogue model by reranking the responses using the proposed measure.
We verified the effectiveness of the time-specific dialogue model through subjective evaluation.

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