计算机科学
注释
面试
钥匙(锁)
自然语言处理
选择(遗传算法)
抄写(语言学)
过程(计算)
领域(数学分析)
数据科学
人工智能
情报检索
万维网
语言学
计算机安全
政治学
操作系统
数学分析
哲学
法学
数学
作者
Zixiu Wu,Simone Balloccu,Vivek Kumar,Rim Helaoui,Ehud Reiter,Diego Reforgiato Recupero,Daniele Riboni
标识
DOI:10.1109/icassp43922.2022.9746035
摘要
Research on natural language processing for counselling dialogue analysis has seen substantial development in recent years, but access to this area remains extremely limited due to the lack of publicly available expert-annotated therapy conversations. In this work, we introduce AnnoMI, the first publicly and freely accessible dataset of professionally transcribed and expert-annotated therapy dialogues. It consists of 133 conversations that demonstrate high- and low-quality motivational interviewing (MI), an effective counselling technique, and the annotations by domain experts cover key MI attributes. We detail the data collection process including dialogue selection, transcription and annotation. We also present analyses of AnnoMI and discuss its potential applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI