Towards Automated Real-time Evaluation in Text-based Counseling
Towards Automated Real-time Evaluation in Text-based Counseling
复制标题
基于文本的咨询中的自动化实时评估
DOI：
10.48550/arxiv.2203.03442
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Zhenzhong Lan
中科院分区：
文献类型：
--
作者：
Anqi Li;Jing Ma;Lizhi Ma;Pengfei Fang;Hongliang He;Zhenzhong Lan
咨询师与客户互动的自动实时评估对于确保咨询质量很重要，但规则很难阐明。机器学习方法的最新进展表明自动学习此类规则的可能性。然而，这些方法往往需要大规模、高质量的咨询数据，而这些数据很难收集。针对这个问题，我们建立了一个在线咨询平台，让专业的心理治疗师为有需要的人提供免费的咨询服务。作为交换，我们收集咨询记录。在其运营一年内，我们成功获得了最大的一组（675）咨询会议记录。为了进一步利用我们拥有的有价值的数据，我们使用粗粒度和细粒度标签来标记我们的数据集，并使用一组预训练技术。最终，我们能够在两个标签系统中实现实用的准确性。
Automated real-time evaluation of counselor-client interaction is important for ensuring quality counseling but the rules are difficult to articulate. Recent advancements in machine learning methods show the possibility of learning such rules automatically. However, these methods often demand large scale and high quality counseling data, which are difficult to collect. To address this issue, we build an online counseling platform, which allows professional psychotherapists to provide free counseling services to those are in need. In exchange, we collect the counseling transcripts. Within a year of its operation, we manage to get one of the largest set of (675) transcripts of counseling sessions. To further leverage the valuable data we have, we label our dataset using both coarse- and fine-grained labels and use a set of pretraining techniques. In the end, we are able to achieve practically useful accuracy in both labeling system.
动机访谈自动编码的自然语言处理方法比较。
影响因子：
3.9
作者：
Tanana,Michael;Hallgren,KevinA;Imel,ZacE;Atkins,DavidC;Srikumar,Vivek
通讯作者：
Srikumar,Vivek
平衡咨询对话中的目标：前进或回顾
DOI：
10.18653/v1/2020.acl-main.470
发表时间：
2020
期刊：
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
影响因子：
--
作者：
Zhang, Justine;Danescu-Niculescu-Mizil, Cristian
通讯作者：
Danescu-Niculescu-Mizil, Cristian