Towards augmenting crisis counselor training by improving message retrieval
Towards augmenting crisis counselor training by improving message retrieval
复制标题
通过改进消息检索来加强危机咨询师培训
DOI：
10.18653/v1/w19-3001
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
B. Recht
中科院分区：
文献类型：
--
作者：
O. Demasi;Marti A. Hearst;B. Recht
培训辅导员的一个基本挑战是为新手提供机会，在不加剧情况的情况下练习辅导痛苦的个人。我们建议模拟一个处于危机中的人，而不是用一个自动化的咨询师来取代人类的同理心，这样接受培训的人类咨询师就可以在低风险的环境中进行危机咨询。为此，我们收集了一个自杀预防顾问角色扮演成绩单的数据集，并朝着构建一个CRISSbot的方向迈出了第一步，供人类在训练时提供咨询。在这种数据约束的设置中，我们评估了潜在的消息检索，以构建一个连贯的聊天代理在最近的进展与文本嵌入方法。我们的研究结果表明，嵌入可以大大改善检索方法，使其与生成模型竞争。通过连贯地检索信息，我们可以帮助辅导员在低风险环境中练习聊天。
A fundamental challenge when training counselors is presenting novices with the opportunity to practice counseling distressed individuals without exacerbating a situation. Rather than replacing human empathy with an automated counselor, we propose simulating an individual in crisis so that human counselors in training can practice crisis counseling in a low-risk environment. Towards this end, we collect a dataset of suicide prevention counselor role-play transcripts and make initial steps towards constructing a CRISISbot for humans to counsel while in training. In this data-constrained setting, we evaluate the potential for message retrieval to construct a coherent chat agent in light of recent advances with text embedding methods. Our results show that embeddings can considerably improve retrieval approaches to make them competitive with generative models. By coherently retrieving messages, we can help counselors practice chatting in a low-risk environment.
影响因子：
3.2
作者：
Gould MS;Cross W;Pisani AR;Munfakh JL;Kleinman M
通讯作者：
Kleinman M