LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation

Hanming Li, Jifan Yu, Ruimiao Li, Zhanxin Hao, Xuan Yan, Jiaxin Yuan, Bin Xu, Juanzi Li, Zhiyuan Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Semi-structured interviews are a crucial method of data acquisition in qualitative research. Typically controlled by the interviewer, the process progresses through a question-and-answer format, aimed at eliciting information from the interviewee. However, interviews are highly time-consuming and demand considerable experience of the interviewers, which greatly limits the efficiency and feasibility of data collection. Therefore, we introduce LM-Interview, a novel system designed to automate the process of preparing, conducting and analyzing semi-structured interviews. Experimental results demonstrate that LM-Interview achieves performance comparable to that of skilled human interviewers.

源语言英语
主期刊名EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of System Demonstrations
编辑Delia Irazu Hernandez Farias, Tom Hope, Manling Li
出版商Association for Computational Linguistics (ACL)
520-528
页数9
ISBN(电子版)9798891761674
出版状态已出版 - 2024
已对外发布
活动2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 - Hybrid, Miami, 美国
期限: 12 11月 202416 11月 2024

出版系列

姓名EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of System Demonstrations

会议

会议2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
国家/地区美国
Hybrid, Miami
时期12/11/2416/11/24

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