JSAI2024

Presentation information

Organized Session

Organized Session » OS-6

[3T1-OS-6a] OS-6

Thu. May 30, 2024 9:00 AM - 10:40 AM Room T (Room 62)

オーガナイザ:寺田 和憲(岐阜大学)、今井 倫太(慶應義塾大学)、山田 誠二(国立情報学研究所)

9:00 AM - 9:20 AM

[3T1-OS-6a-01] Natural-Language Representation of Context by Rephasing a Sentence Using a Large Language Model

〇Tomoyuki Maekawa1, Aoto Tsuchiya1, Kenshin Nakanishi1, Michita Imai1 (1. Keio Unievrsity)

Keywords:Natural language processing, Dialogue, Context, Large language model, Rephrasing

Individual statements in a dialogue cannot be interpreted by themselves, but only in the context of the dialogue history. Therefore, literally identical statements are interpreted differently depending on the dialogue history. This paper proposes a method to represent the interpretation of a statement based on its dialogue history in the form of natural language. The novelty of the proposed method is that we use a large language model to obtain a more specific statement generated by rephrasing the original statement based on the context. Furthermore, we apply the proposed method to incomplete dialogues from which several statements in the dialogue history have been removed and extract statements that are crucial for the interpretation of a particular statement. Evaluation by human raters showed that the extracted statements had significantly more crucial effects on the dialogue than the other statements.

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