Shao Yanqiu
Gender:Female
Education Level:博士研究生毕业
Alma Mater:哈尔滨工业大学
Paper Publications
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李华勇,申资卓,Liu DianQing,邵艳秋. Adversarial Domain Adaptation for Chinese Semantic Dependency Graph Parsing. Lecture Notes in Artificial Intelligence, Chinese Computational Linguistics. 2019-10. 第11856卷,第55–66页
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申资卓,李华勇,Liu Dianqing,邵艳秋. Dependency-Gated Cascade Biaffine Network for Chinese Semantic Dependency Graph Parsing. Lecture Notes in Artificial Intelligence, Natural Language Processing and Chinese Computing. 2019-10. 第11838卷,第840-851页
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申资卓,李华勇,Liu Dianqing,邵艳秋. Dependency-Gated Cascade Biaffine Network for Chinese Semantic Dependency Graph Parsing. Lecture Notes in Artificial Intelligence, Natural Language Processing and Chinese Computing. 2019-10. 第11838卷,第840-851页
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邵艳秋,申资卓,刘世军. 基于依存搭配抽取技术的平面媒体语言监测研究. 山西大学学报(自然科学版). 2019-8. 2019年第3期,526-533页
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李华勇,邵艳秋,李一萌. Automatic Chinese Nominal Compound Interpretation Based on Deep Neural Networks Combined with Semantic Features. Lecture Notes in Artificial Intelligence. 2018-5. 第11173卷,606-614页
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李华勇,邵艳秋,李一萌. Automatic Chinese Nominal Compound Interpretation Based on Deep Neural Networks Combined with Semantic Features. Lecture Notes in Artificial Intelligence. 2018-5. 第11173卷,606-614页
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程荥辉,邵艳秋. The Annotation Scheme of Semantic Structure Relations Based on Semantic Dependency Graph Bank. Lecture Notes in Artificial Intelligence. 2018-5. 第11173期, 720-732页
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郑丽娟,邵艳秋. 基于语义依存图库的兼语句句模研究. 中文信息学报. 2015-11. 2015年第29卷第6期,30-37页
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申资卓,杨莹,邵艳秋. 基于主题模型的古典乐器诗词文本挖掘. 中文信息学报. 2019-3. 2019年第33卷第3期,79-86页
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申资卓,杨莹,邵艳秋. 基于主题模型的古典乐器诗词文本挖掘. 中文信息学报. 2019-3. 2019年第33卷第3期,79-86页