Ksenia Kharitonova, David Pérez-Fernández, Javier Gutiérrez-Hernando, Asier Gutiérrez-Fandiño, Zoraida Callejas, David Griol
{"title":"将证据纳入心理健康问答:使用生成语言模型进行有效临床内容提取的新方法","authors":"Ksenia Kharitonova, David Pérez-Fernández, Javier Gutiérrez-Hernando, Asier Gutiérrez-Fandiño, Zoraida Callejas, David Griol","doi":"10.1080/0144929x.2024.2321959","DOIUrl":null,"url":null,"abstract":"Generative language models have changed the way we interact with computers using natural language. With the release of increasingly advanced GPT models, systems are able to correctly respond to que...","PeriodicalId":55392,"journal":{"name":"Behaviour & Information Technology","volume":"34 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incorporating evidence into mental health Q&A: a novel method to use generative language models for validated clinical content extraction\",\"authors\":\"Ksenia Kharitonova, David Pérez-Fernández, Javier Gutiérrez-Hernando, Asier Gutiérrez-Fandiño, Zoraida Callejas, David Griol\",\"doi\":\"10.1080/0144929x.2024.2321959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generative language models have changed the way we interact with computers using natural language. With the release of increasingly advanced GPT models, systems are able to correctly respond to que...\",\"PeriodicalId\":55392,\"journal\":{\"name\":\"Behaviour & Information Technology\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behaviour & Information Technology\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/0144929x.2024.2321959\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behaviour & Information Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/0144929x.2024.2321959","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
Incorporating evidence into mental health Q&A: a novel method to use generative language models for validated clinical content extraction
Generative language models have changed the way we interact with computers using natural language. With the release of increasingly advanced GPT models, systems are able to correctly respond to que...
期刊介绍:
Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT.
BIT reports original research studies, practical case studies, and thoughtful articles on:
• usability and user experience (UX)
• human computer interaction (HCI)
• human-centred and user-centred design
• the social, business and human aspects of the digital world.
The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry.
All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.