Search-Oriented Dialog System for Data Science
Search-Oriented Dialog System for Data Science
批准号:
19K12132
负责人:
金 進東
金额:
$2.83万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2019
资助国家:
日本
项目状态:
已结题
起止时间:
2019-04-01 至 2024-03-31
中文摘要
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英文摘要
In R4, a thorough evaluation on the search-oriented dialog system was conducted, which revealed several problems in the intent detection system. We conducted research to solve the problems, and found that they could be effectively solved by utilizing few-shot learning with InstructGPT. During the research, we realized that the state-of-the-art of pre-trained language models were rapidly evolving, which we needed to be able to constantly leverage. We made a change to the architecture of the search-oriented dialog system, so that we can easily incorporate external language resources like pre-trained language models. With the new architecture, we could utilize recently released pre-trained language models, including chatGPT and GPT4, which led to much improved performance.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Beyond QA Kickoff Meeting of XQA and DialoQ
XQA 和 DialoQ 的 Beyond QA 启动会议
DOI:
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发表时间:
2019
期刊:
影响因子:
--
作者:
[]
通讯作者:
IDSIA(スイス)
IDSIA(瑞士)
DOI:
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发表时间:
期刊:
影响因子:
--
作者:
[]
通讯作者:
海外基金