刘颖，1998年毕业于中国科学院计算技术研究所，获博士学位。现任清华大学人文学院中文系长聘教授，博士生导师。2006年2月至2007年1月在美国卡耐基梅隆大学计算机学院语言技术研究所作访问学者。
主要研究领域为计算语言学和语料库语言学。
先后主持“基于计算风格学的明清小说研究”、“数字人文视野下的语言文学研究”、“语体特征的自动提取和研究”、“莫言与余华小说的计量风格分析与比较”、“基于深度学习框架的开源教程和案例建设”和“机器翻译多策略研究”等多个国家级、省部级科研项目。

主要著作：
[1] 刘颖，《计算语言学》第二版，清华大学出版社，2014年。
[2] 刘颖，《统计语言学》，清华大学出版社，2014年。
[3] 刘颖，《计算语言学》第一版，清华大学出版社，2002年。
[4] 胡海涛，刘颖，《离散数学》，华北电力大学出版社，2010年。
[5] 刘颖，胡海涛译，《语料库语言学》，清华大学出版社，2012年10月。
[6] 刘颖，姜文涛，陆晓芳主编， 《数字人文语语言文学研究》，译林出版社，2022年9月30日。

2020年以来发表主要论文：
[1] Song L, Ying L. Approaches and Challenges for Resolving Different Representations of Fictional Characters for Chinese Novels[C]//Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024.
[2] Zhu S, Wang W, Liu Y. Quite Good, but Not Enough: Nationality Bias in Large Language Models - A Case Study of ChatGPT[C]//Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024.
[3] Zhu Liu, Cunliang Kong, Ying Liu, Maosong Sun. Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics . Findings of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2024
[4]  Jianyu Zheng, Ying Liu. What does Chinese BERT learn about syntactic knowledge. PeerJ Computer Science, 2023. SCI
[5]  Liu Zhu, Liu Ying. Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation. Findings of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023, 3963-3977, 2023.
[6]  Shenglong Zhang, Ying Liu. Adversarial Multi-task Learning for End-to-end Metaphor Detection. Findings of the 61st Annual Meeting of the Association for Computational Linguistics : ACL 2023, 1483-1497, 2023.
[7] Zhu S, Liu Y. Offensiveness Analysis of Chinese Group Addressing Terms and Dataset Construction[C]//In: Dong M, Hong J, Lin J, Jin P (eds) Chinese Lexical Semantics (CLSW2023). Lecture Notes in Artificial Intelligence, vol 14515. Springer, Cham, 2023: 342-356.
[8]  Jianyu Zheng, Ying Liu. Probing Language Identity Encoded in Pre-trained Multilingual Models. PeerJ Computer Science, 1-23. March 2022.
[9] Zhang S, Liu Y. Metaphor Detection via Linguistics Enhanced Siamese Network[C]//Proceedings of International Conference on Computational Linguistics. 2022.
[10] Li J, Zhu S, Liu Y, Liu P. Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings[C]//Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP at NAACL2022), 2022: 8-16.
[11] Zhao Jishun, Zhu Shucheng, Liu Ying, Liu Pengyuan. CDAIL-BIAS MEASURER: A Model Ensemble Approach for Dialogue Social Bias Measurement[C]//Proceedings of Natural Language Processing and Chinese Computing: 11th CCF International Conference (NLPCC2022), 2022:204-215.
[12] Mengqing Guo, Jiali Li, Jishun Zhao, Shucheng Zhu, Ying Liu, and Pengyuan Liu. 中文自然语言处理多任务中的职业性别偏见测量(Measurement of Occupational Gender Bias in Chinese Natural Language Processing Tasks). In Proceedings of the 21st Chinese National Conference on Computational Linguistics, 2022:510–522.
[13]  Li J, Zhu S, Liu Y, Liu P. Gender Stereotypes in TCSOL Dialogue Corpus[C]//Proceedings of 2022 International Conference on Asian Language Processing (IALP2022), 2022: 427-432.
[14] Hanyan Wu, Ying Liu et al. Key n-Gram Extractions and Analyses of Different Registers Based on Attention network.  Journal of Applied Mathematics. Volume 2021, Article ID 5264090, 16 pages.
[15] Mitsuhiro Nishijima and Ying Liu. Native Language Identification and Reconstruction of Native Language Relationship Using Japanese Learner Corpus, The 35th Pacific Asia conference on Language, Information and Computation. 2021
[16] 西岛光洋, 刘颖, 中田和秀. 用日语学习者语料库I-JAS的母语识别（日本語学習者コーパスI-JASを用いた母語識別）[C]//语言处理学会第27届年次大会发表论文集. 福冈:语言处理学会, 2021:1028–1032.
[17]  Ying Liu, TianJiu Xiao. A Stylistic Analysis for Gu Long’s Kung Fu Novels. Journal of Quantitative Linguistics, Volume 27, 2020 - Issue 1，32-61, SSCI, AHCI, JCR.
[18]  Haiyan wu, Ying Liu. Modularized Syntactic Neural Networks for Sentence Classification ,The 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP2020.Nov 16-20,2020
[19]  Haiyan wu, Ying Liu. Stylistic Syntactic Structure Extraction and Semantic Clustering for Different Registers, the International Conference on Asian Language Processing，IALP 2020. Dec. 4-6,2020
[20]张声龙, 刘颖, 马艳军，SaGE:基于句法感知图卷积神经网络和 ELECTRA 的中文隐喻识别模型 [J]. 中文信息学报, 2024, 38(03)。
[21]宋丽, 刘颖，用计量风格学方法考察《水浒传》的作者争议问题. 《中文信息学报》, 2022，36(8):163-174。
[22]范楚琳,刘颖，基于多维度分析法的鲁迅三种文体比较研究. 中文信息学报, 2020, 34(10): 94-104。
[23] 吴海燕，刘颖，基于注意力网络的语体多元特征挖掘，《计算机应用》，2020-8。