@inproceedings{bbcf62a0af9d404b9e3c2a3199479c5a,
title = "LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation",
abstract = "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.",
author = "Hanming Li and Jifan Yu and Ruimiao Li and Zhanxin Hao and Xuan Yan and Jiaxin Yuan and Bin Xu and Juanzi Li and Zhiyuan Liu",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 ; Conference date: 12-11-2024 Through 16-11-2024",
year = "2024",
language = "英语",
series = "EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of System Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "520--528",
editor = "Farias, {Delia Irazu Hernandez} and Tom Hope and Manling Li",
booktitle = "EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of System Demonstrations",
}