Constructing a Culinary Interview Dialogue Corpus with Video Conferencing Tool

Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 3131–3139 Marseille, 20-25 June 2022 © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0 3131 Constructing a Culinary Interview Dialogue Corpus with Video Conferencing Tool Taro Okahisa, Ribeka Tanaka∗, Takashi Kodama, Yin-Jou Huang, Sadao Kurohashi Kyoto University Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan {okahisa, kodama, huang, kuro}@nlp.ist.i.kyoto-u.ac.jp Abstract Interview is an efficient way to elicit knowledge from experts of different domains. In this paper, we introduce CIDC, an interview dialogue corpus in the culinary domain in which interviewers play an active role to elicit culinary knowledge from the cooking expert. The corpus consists of 308 interview dialogues (each about 13 minutes in length), which add up to a total of 64,000 utterances. We use a video conferencing tool for data collection, which allows us to obtain the facial expressions of the interlocutors as well as the screen-sharing contents. To understand the impact of the interlocutors’ skill level, we divide the experts into “professionals” and “enthusiasts” and the interviewers into “skilled interviewers” and “unskilled interviewers.” For quantitative analysis, we report the statistics and the results of the post-interview questionnaire. We also conduct qualitative analysis on the collected interview dialogues and summarize the salient patterns of how interviewers elicit knowledge from the experts. The corpus serves the purpose to facilitate future research on the knowledge elicitation mechanism in interview dialogues. Keywords: Interview Dialogue, Corpus Construction, Multi-modal Information, Knowledge Elicitation 1. Introduction An interview is a special form of dialogue that occurs between an interviewer and an interviewee. Typically, the interviewer asks the interviewee some questions to elicit information of interest from the interviewee. We are especially interested in the interview dialogues that aim to elicit technical knowledge from domain ex- perts. Here, domain experts refer to people who pos- sess technical knowledge about how to carry out spe- cific tasks in a certain domain. Interview is an effi- cient way to elicit technical knowledge from such ex- perts. Under the deliberate questions of the interview- ers, the experts are prompted to reflect on and verbal- ize the technical knowledge that is critical to complete the task. The elicitation of technical knowledge can help the transmission of skills from domain experts to less-experienced workers, which is beneficial to many industrial fields. Most of the existing interview dialogue corpora are based on news interviews which serve the purpose of information broadcasting or entertainment (Majumder et al., 2020; Sasayama and Matsumoto, 2020; Zhu et al., 2021). However, the interview dialogue data in which the interviewer plays an active role to guide the overall dialogue flow and elicit technical knowledge is still lacking. To facilitate research on interview dialogues and tech- nical knowledge elicitation, we construct an interview dialogue corpus in the culinary domain. Each interview dialogue takes place between two participants, who are given the role of interviewer and expert, respectively. The interviewer is asked to elicit cooking instructions ∗Currently affiliated with Ochanomizu University, 2- 1-1 Otsuka, Bunkyo-ku, Tokyo, 112-8610, Japan (E-mail: tanaka.ribeka@is.ocha.ac.jp). …

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