CN108491497A - 基于生成式对抗网络技术的医疗文本生成方法 - Google Patents
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CN201810227535.0A CN108491497B (zh) | 2018-03-20 | 2018-03-20 | 基于生成式对抗网络技术的医疗文本生成方法 |
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105512687A (zh) * | 2015-12-15 | 2016-04-20 | 北京锐安科技有限公司 | 训练情感分类模型和文本情感极性分析的方法及系统 |
CN107590531A (zh) * | 2017-08-14 | 2018-01-16 | 华南理工大学 | 一种基于文本生成的wgan方法 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10936967B2 (en) * | 2014-11-26 | 2021-03-02 | Nec Corporation | Information processing system, information processing method, and recording medium for learning a classification model |
CN107330444A (zh) * | 2017-05-27 | 2017-11-07 | 苏州科技大学 | 一种基于生成对抗网络的图像自动文本标注方法 |
CN107609009B (zh) * | 2017-07-26 | 2020-02-18 | 北京大学深圳研究院 | 文本情感分析方法、装置、存储介质和计算机设备 |
CN108491497B (zh) * | 2018-03-20 | 2020-06-02 | 苏州大学 | 基于生成式对抗网络技术的医疗文本生成方法 |
-
2018
- 2018-03-20 CN CN201810227535.0A patent/CN108491497B/zh active Active
- 2018-10-29 WO PCT/CN2018/112285 patent/WO2019179100A1/zh active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105512687A (zh) * | 2015-12-15 | 2016-04-20 | 北京锐安科技有限公司 | 训练情感分类模型和文本情感极性分析的方法及系统 |
CN107590531A (zh) * | 2017-08-14 | 2018-01-16 | 华南理工大学 | 一种基于文本生成的wgan方法 |
Non-Patent Citations (1)
Title |
---|
王坤峰等: "生成式对抗网络GAN的研究进展与展望", 《自动化学报》 * |
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WO2019179100A1 (zh) * | 2018-03-20 | 2019-09-26 | 苏州大学张家港工业技术研究院 | 基于生成式对抗网络技术的医疗文本生成方法 |
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CN111863236A (zh) * | 2019-04-24 | 2020-10-30 | 通用电气精准医疗有限责任公司 | 医疗机器合成数据和对应事件生成 |
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US11984201B2 (en) | 2019-04-24 | 2024-05-14 | GE Precision Healthcare LLC | Medical machine synthetic data and corresponding event generation |
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