CN115269807B - 一种基于问题类型识别的问答对联合生成模型 - Google Patents
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3625699A1 (en) * | 2017-10-25 | 2020-03-25 | Google LLC | Natural language processing with an n-gram machine |
CN111563378A (zh) * | 2020-04-30 | 2020-08-21 | 神思电子技术股份有限公司 | 一种联合学习的多文档阅读理解实现方法 |
CN113127623A (zh) * | 2021-05-06 | 2021-07-16 | 东南大学 | 一种基于混合专家模型和联合学习的知识库问题生成方法 |
CN114328852A (zh) * | 2021-08-26 | 2022-04-12 | 腾讯科技(深圳)有限公司 | 一种文本处理的方法、相关装置及设备 |
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CN111324717B (zh) * | 2020-02-24 | 2023-06-27 | 武汉大学 | 一种面向开放域问答的基于机器阅读理解的答案获取方法及*** |
CN111930887B (zh) * | 2020-07-06 | 2023-07-21 | 河海大学常州校区 | 基于联合训练方式的多文档多答案机器阅读理解*** |
CN111914062B (zh) * | 2020-07-13 | 2021-04-06 | 上海乐言科技股份有限公司 | 一种基于关键词的长文本问答对生成*** |
CN112464641B (zh) * | 2020-10-29 | 2023-01-03 | 平安科技(深圳)有限公司 | 基于bert的机器阅读理解方法、装置、设备及存储介质 |
CN114780696A (zh) * | 2022-04-11 | 2022-07-22 | 天津大学 | 适用于对话***的以会话内容驱动的问题生成方法 |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3625699A1 (en) * | 2017-10-25 | 2020-03-25 | Google LLC | Natural language processing with an n-gram machine |
CN111563378A (zh) * | 2020-04-30 | 2020-08-21 | 神思电子技术股份有限公司 | 一种联合学习的多文档阅读理解实现方法 |
CN113127623A (zh) * | 2021-05-06 | 2021-07-16 | 东南大学 | 一种基于混合专家模型和联合学习的知识库问题生成方法 |
CN114328852A (zh) * | 2021-08-26 | 2022-04-12 | 腾讯科技(深圳)有限公司 | 一种文本处理的方法、相关装置及设备 |
Non-Patent Citations (1)
Title |
---|
融合知识表示的生成式自动问答模型研究;杨静莹;中国优秀硕士学位论文全文数据库信息科技辑(第10期);I138-199 * |
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