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arXiv 2106.01702cs.CL

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

Beijing National Research Center for Information Science and Technology(北京信息科学与技术国家研究中心);Tsinghua University(清华大学);Tsinghua-Berkeley Shenzhen Institute(清华-伯克利深圳学院);Tsinghua Shenzhen International Graduate School(清华大学深圳国际研究生院)

Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang

英文摘要:

Great research interests have been attracted to devise AI services that are able to provide mental health support. However, the lack of corpora is a main obstacle to this research, particularly in Chinese language. In this paper, we propose PsyQA, a Chinese dataset of psychological health support in the form of question and answer pair. PsyQA is crawled from a Chinese mental health service platform, and contains 22K questions and 56K long and well-structured answers. Based on the psychological counseling theories, we annotate a portion of answer texts with typical strategies for providing support, and further present in-depth analysis of both lexical features and strategy patterns in the counseling answers. We also evaluate the performance of generating counseling answers with the generative pretrained models. Results show that utilizing strategies enhances the fluency and helpfulness of generated answers, but there is still a large space for future research.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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