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科研项目 ​

  • 基于词汇语义网络的中文深层语义分析.国家自然科学基金（61872402）,2019.1-2022.12,主持。
  • 中文语义依存分析资源建设及关键技术研究.北京语言大学重大基础研究专项项目(18ZDJ03), 2019.1-2022.12,主持
  • 汉语特殊句式语义依存图的表示与句模分析研究. 教育部人文社科规划基金(17YJAZH068 ), 2017.7-2020.6,主持
  • 基于语义分析的词语搭配历时计算研究. 国家语委“十二五”科研规划2015年度重点项目(ZDI125-41), 2015.1.1-2017.12.31，主持。（已结项）
  • 中文语义依存分析资源构建及分析技术.国家自然科学基金(61170144), 2012.1-2015.12,主持。（已结项）
  • 北京语言大学中青年学术骨干支持计划（2014.9-2017.8）,主持。（已结项）
  • 中文语义角色自动标注研究.中国博士后科学基金(148062), 2007.9-2009.5，主持。（已结项）
  • 面向中医古籍的多层次术语知识挖掘关键技术研究。国家自然科学基金（青年）（62306045）

学生项目 ​

  • 基于Role Prompt模板的比较义可计算问题生成.北京语言大学研究生创新基金(23YCX128) 赵懿然
  • 中文省略消解研究.北京语言大学研究生创新基金(22YCX158) 祁佳璐 （已结项）
  • 中文省略句省略成分恢复研究.北京语言大学研究生创新基金(22YCX055) 闫晗 （已结项）

专利 ​

  1. 李炜,邵艳秋,董立成,申资卓,杜彦融.一种对文言文机器翻译结果自动评估的方法和系统:ZL 2023 1 0973916.4[P]. 2023-10-20.

  2. 邵艳秋,李炜,姜嘉星,李祎,宣茜.一种基于知识表示学习的文言文知识迁移方法及系统:ZL 2023 1 0973852.8[P]. 2023-11-03.

  3. 李炜,黄舒坦,邵艳秋,张少琪.一种基于预训练语言模型的无监督上下文自适应中文简繁体字符转换系统:ZL 2023 11541516.2.[P]. 2024-01-23

学术论文 ​

2024 ​

  1. Wei Li, Shutan Huang, Yanqiu Shao.An Unsupervised Framework for Adaptive Context-aware Simplified-Traditional Chinese Character Conversion.COLING 2024

2023 ​

  1. Shuhan Zhou, Longxuan Ma, Yanqiu Shao.Exploring Accurate and Generic Simile Knowledge from Pre-trainedLanguage Models.CCL 2023
  2. Congcong Wei, Zhenbing Feng, Shutan Huang, Wei Li, Yanqiu Shao. CHED: A Cross-Historical Dataset with a Logical Event Schema forClassical Chinese Event Detection.CCL 2023
  3. Wei Li, Zheng Yang, Yanqiu Shao. Unsupervised Traditional Chinese Herb Mention Normalization via Robustness-promotion Oriented Self-supervised Training. CICAI 2023
  4. Wei Li, Zheng Yang, Yanqiu Shao. Domain Specific Pre-training Methods for Traditional Chinese Medicine Prescription Recommendation. CICAI 2023
  5. Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun.ASAT: Adaptively scaled adversarial training in time series[J]. Xu Neurocomputing,2023,522:11-23.
  6. 喻快《古今汉语平行语料对齐方法研究》获得2023年北京语言大学校级优秀硕士毕业论文，邵艳秋教授获得优秀导师。

2022 ​

  1. Jialu Qi,Yanqiu Shao,Wei Li, Zizhuo Shen.MCER: A Multi-domain Dataset for Sentence-Level Chinese Ellipsis Resolution[C]//NLPCC 2022: Natural Language Processing and Chinese Computing,2022:29–42.
  2. 喻快, 邵艳秋, 李炜.基于强化学习的古今汉语句子对齐研究[C]//第二十一届中国计算语言学大会论文集,2022:704–715.
  3. 黄恬,邵艳秋,李炜.《二十四史》古代汉语语义依存图库构建[C]//第二十一届中国计算语言学大会论文集,2022:444–454.
  4. 李炜,邵艳秋,毕梦曦.针对古代经典文献的引用查找问题的数据构建与匹配方法[C]//第二十一届中国计算语言学大会论文集,2022:600–610.
  5. Han Yan, Yiran Zhao, Peipei Sun, Yanqiu Shao.A Study on the Recovery of Omitted Constituents in Chinese Elliptical Sentences[C]//CLSW 2022: Chinese Lexical Semantics Workshop,2022:253–264
  6. Xuan Chen, Yanqiu Shao. Semantic Dependency Analysis of Special Sentence Patterns in Ancient Chinese[C]//CLSW 2022: Chinese Lexical Semantics Workshop,2022:337–349
  7. Xuan Chen, Yanqiu Shao.Research on the Subjective Quantitative Construction “Bu Jiu X(Ma)”[C]//CLSW 2022: Chinese Lexical Semantics,2022,:337–349
  8. 现代汉语省略句数据集构建及判别研究.周姝含,邵艳秋.CLSW 2022
  9. 毛达展,李华勇,邵艳秋.半监督跨领域语义依存分析技术研究[J].中文信息学报,2022,36(02):22-28.
  10. Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Su.Stock Trading Volume Prediction with Dual-Process Meta-Learning[C]//ECML PKDD 2022: Machine Learning and Knowledge Discovery in Databases,2022:137–153.
  11. Shicheng Li, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto.No Stock is an Island: Learning International and Relational Attributes of Stocks with Contrastive Learning[C]//FinNLP 2022,:147-153.Best Paper Award.
  12. Wei Li, Yuhan Song, Qi Su, Yanqiu Shao.Unsupervised Word Segmentation with BERT Oriented Probing and Transformation[C]//.Findings of the Association for Computational Linguistics: ACL 2022.Dublin, Ireland:Association for Computational Linguistics,2022:3935–3940.
  13. 刘兴,王琦,李炜,李玲孺,杨正.痰湿体质知识图谱构建研究初探[J].北京中医药大学学报,2022,45(09):949-955.
  14. 毛达展《基于领域自适应的语义依存分析方法研究》获得2022年北京语言大学校级优秀硕士毕业论文，邵艳秋教授获得优秀导师。

2021 ​

  1. Dianqing Liu,Lanqiu Zhang,Yanqiu Shao,Junzhao Sun.Leverage External Knowledge and Self-attention for Chinese Semantic Dependency Graph Parsing[J] Intelligent Automation & Soft Computing,2021,28(2):447–458.
  2. Peipei Sun,Yanqiu Shao.Verification of Menzerath-Altmann's Law in Different Chinese Registers based on corpus[C]//2021 2nd International Conference on Artificial Intelligence and Education(ICAIE 2021),2021:34-39.
  3. Yuhang Zhao, Yi Li,Yanqiu Shao.Chinese Verb-Object Collocation Knowledge Graph Construction and Application[C]//7th International Conference on Artificial Intelligence and Security (ICAIS 2021),2021: 217-232.
  4. Yongkang Song, Yanqiu Shao. Improving Text Matching with Semantic Dependency Graph via Message Passing Neural Network[C]//7th International Conference on Artificial Intelligence and Security (ICAIS 2021), 2021:395-406.
  5. Dazhan Mao, Kuai Yu, and Yanqiu Shao. 2021. In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 655–666, Huhhot, China. Chinese Information Processing Society of China. 2021,12.3-12.5.
  6. 孙珮珮，邵艳秋，张岚秋. 基于语义依存图语料库的中文省略句省略模式探析. 第二十二届汉语词汇语义学国际研讨会, 2021，NanJing.
  7. 张文敏，邵艳秋. 基于语义依存图的汉语复合名词短语语义关系语料库的构建与分析. 第二十二届汉语词汇语义学国际研讨会, 2021，NanJing.
  8. 王颖哲，邵艳秋. 第二十二届汉语词汇语义学国际研讨会, 2021，NanJing.
  9. Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu, Xu Sun.Query-Variant Advertisement Text Generationwith Association Knowledge[C]//Proceedings of the 30th ACM International Conference on Information & Knowledge Management,2021:(没找到页码)
  10. Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun.Long-term, Short-term and Sudden Event: Trading Volume Movement Predictionwith Graph-based Multi-view Modeling[C]//International Joint Conference on Artificial Intelligence,2021:(没找到页码)

2020 ​

  1. Zhang Lanqiu, Shen Zizhuo, Shao Yanqiu. Semantic-aware Chinese Zero Pronoun Resolution with Pre-trained Semantic Dependency Parser[C]//Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30 - November 1, 2020, Proceedings.Lecture Notes in Computer Science 12522, Springer 2020, 17-29.
  2. Dianqing Liu , Lihui Wang , and Yanqiu Shao. Multi-task Learning Neural Networks for Comparative Elements Extraction. Chinese Lexical Semantics - 21st Workshop, CLSW 2020, Hong Kong, China, May 28-30, 2020, Lecture Notes in Computer Science 12278, Springer 2021, 398-407.
  3. Yi Li, Yanqiu Shao, Yuhang Zhao. Construction of General Lexical-Semantic Knowledge Graph. Chinese Lexical Semantics - 21st Workshop, CLSW 2020, Hong Kong, China, May 28-30, 2020, Lecture Notes in Computer Science 12278, Springer 2021, ISBN 978-3-030-81196-9, 464-472
  4. 王立辉，邵艳秋. 基于语义依存图的比较句句模研究. The 21st Chinese Lexical Semantics Workshop (CLSW2020), Hong Kong.
  5. Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun.Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topolog-ical View[C]//AAAI Conference on Artificial Intelligence,2019（semanticscholar上查到这篇论文是2019年的，请甄别后修改):(没找到页码).
  6. Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su,Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction[C]//International Joint Conference on Artificial Intelligence 2020:(没找到页码).
  7. Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang.Training Simplification and Model Simplification for Deep Learning[J].A Minimal Effort Back Propagation Method. IEEE Transactions on Knowledge and Data Engineering,2020,32(2): 374-387.

2019 ​

  1. 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[J].山西大学学报(自然科学版),2019, 42(03):526-533.
  2. 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[J].中文信息学报,2019,33(03):79-86.
  3. Cuiting Hu, Yanqiu Shao. Difference and Analysis Between the Structures of "Shai( ) + NP" and "Xiu( ) + NP". Chinese Lexical Semantics - 20th Workshop, CLSW 2019, Beijing, China, June 28-30, 2019, Lecture Notes in Computer Science 11831, Springer 2020, ISBN 978-3-030-38188-2: 14-23.
  4. 胡翠婷.基于词频计量统计的林黛玉性格分析[J].现代语文,2019(02):86-92.
  5. Siqi Zhu, Yi Li, Yanqiu Shao, Lihui Wang. Building Semantic Dependency Knowledge Graph Based on HowNet. Chinese Lexical Semantics - 20th Workshop, CLSW 2019, Beijing, China, June 28-30, 2019, 11831, Springer 2020, ISBN 978-3-030-38188-2:525-534.
  6. Zhu Siqi, Liyi, Yanqiu Shao. Research on Construction and Automatic Expansion of Multi-Source Lexical Semantic Knowledge Base. Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Communications in Computer and Information Science 1134, Springer 2019, ISBN 978-981-15-1955-0, 74-85.
  7. Zizhuo Shen, Huayong Li, Dianqing Liu, Yanqiu Shao. Dependency-Gated Cascade Biaffine Network for Chinese Semantic Dependency Graph Parsing. Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11838, Springer 2019, ISBN 978-3-030-32232-8 : 840-851
  8. Huayong Li, Zizhuo Shen, DianQing Liu, Yanqiu Shao. Adversarial Domain Adaptation for Chinese Semantic Dependency Graph Parsing. Chinese Computational Linguistics - 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11856, Springer 2019, ISBN 978-3-030-32380-6: 55-66
  9. 张文敏,李华勇,邵艳秋.汉语基本复合名词短语语义关系知识库构建与识别[J].中文信息学报,2019,33(12):28–36.
  10. Zhiyuan Zhang, Wei Li, Qi Su.Automatic Translating Between Ancient Chinese and Contemporary Chinese with Limited Aligned Corpora[C]//Natural Language Processing and Chinese Computing,2019:(没找到页码).
  11. Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun.Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model[C]//Annual Meeting of the Association for Computational Linguistics,2019:(没找到页码).

评测奖项 ​

2023 ​

  1. CCL Eval：汉语框架语义解析 第 2 名 黄舒坦
  2. iFLYTEK A.I.开发者大赛：大模型 AI 知识评测 第 1 名 黄舒坦
  3. CAIL Eval：中国法律智能技术评测 司法考试赛道 第 3 名 黄舒坦