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姓名:丘心颖

学历/学位:博士研究生

职称/职务:教授

教师介绍

个人简介:

丘心颖,博士,广东外语外贸大学十博10bet体育官网教授。分别于1999年和2007年在美国爱荷华大学(The University of Iowa)获得管理信息系统硕士和博士学位,曾任美国芝加哥One Inc. 公司软件工程师,以及美国Christopher Newport University助理教授,主要研究方向为文本挖掘、计算语言学、信息检索。主要课题包括文本可读性研究、非通用语言处理研究、和信息披露文本挖掘。研究成果发表在ACL、NLPCC、 “Journal of the Association for Information Science and Technology”,“European Journal of Operational Research”,“经济学季刊”,“北京大学学报”等国内外高水平会议和学术期刊。


联系方式:

Email: xy.qiu@foxmail.com


部分论文:

Qiu X., Chen Y., Chen H., Nie J., Shen Y., Lu D., (2021) Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics

Shen, Y., Guo, C., Li, H., Chen, J., Guo, Y., & Qiu, X. (2021). Financial Feature Embedding with Knowledge Representation Learning for Financial Statement Fraud Detection. Procedia Computer Science, 187, 420-425.

陈 源,丘心颖,结合自监督学习的多任务文本语义相似度计算 (2022) [J] 北京大学学报(自然科学版)(01),83-90. doi:10.13209/j.0479-8023.2021.101.

Qiu X., Xue H., Liang L., Xie Z., Liao S., and Shi G., Automatic Generation of Multiple-choice Cloze-test Questions for Lao Language Learning. (2022) Proceedings of International Conference on Asian Language Processing

丘心颖,陈汉武,陈 源,等.(2020) 融合 Self-Attention 机制和 n-gram 卷积核的印尼语复合名词 自动识别方法研究 [J]. 湖南工业大学学报,2020,34(3):1-9

Lu D., Qiu X., Cai Y. (2020) Sentence-Level Readability Assessment for L2 Chinese Learning. In: Hong JF., Zhang Y., Liu P. (eds) Chinese Lexical Semantics. CLSW 2019. Springer Lecture Notes in Computer Science, vol 11831. pp. 381–392.

Qiu X., Lu D., Shen Y., Cai Y. (2019) Linguistic Feature Representation with Statistical Relational Learning for Readability Assessment. In: Tang J., Kan MY., Zhao D., Li S., Zan H. (eds) Natural Language Processing and Chinese Computing. Springer Lecture Notes in Computer Science, vol 11839. pp 360-369

Qiu X., Deng K., Qiu L., Wang X. (2018) Exploring the Impact of Linguistic Features for Chinese Readability Assessment, In: X. Huang et al. (Eds.): Natural Language Processing and Chinese Computing, Springer LNAI 10619, pp. 771–783.

Qiu X., Deng K., Jiang S., Qiu L. (2016) Mining Quality Differences of Chinese Information Disclosure, ICIC Express Letters, Part B: Applications (ICIC-ELB) Vol 7(12), pages 2691-2698.

丘心颖,郑小翠,邓可斌. (2016)“分析师能有效发挥专业解读信息的作用吗?--基于汉字年报复杂性指标的研究”. 经济学(季刊),Vol. 15, No. 4, July, 2016,1483-1506.

Qiu X Y, Lin, X, and Qiu L. (2016) Feature Representation Models for Cyber Attack Event Extraction, Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence Workshop,October 13-16, 2016 in Omaha, Nebraska, USA, pages 29-32

Qiu X Y, Srinivasan P, Hu Y. (2014) Supervised learning models to predict firm performance with annual reports: an empirical study. Journal of the Association for Information Science and Technology, 2014, 65(2): 400-413.

Qiu X Y, Jiang S, Deng K. (2013) Automatic Assessment of Information Disclosure Quality in Chinese Annual Reports Natural Language Processing and Chinese Computing. Springer Berlin Heidelberg, 2013: 288-298.

Balakrishnan R, Qiu X Y, Srinivasan P. (2010) On the predictive ability of narrative disclosures in annual reports, European Journal of Operational Research, 2010, 202(3): 789-801.

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