一、个人简介

赵青青，女，中国社会科学院语言研究所副研究员。2018年毕业于香港理工大学，获哲学博士学位。

二、研究领域

研究领域为认知语言学、语料库语言学、计算语言学，主要关注语言中通感、隐喻以及情感等的认知特点与计算建模研究。

三、代表性成果

（一）专著

Zhao, Qingqing. 2020. Embodied Conceptualization or Neural realization: A Corpus-driven Study of Mandarin Synaesthetic Adjectives. Singapore: Springer.

——2022（再版）《具身认知还是神经活动：语料库驱动的现代汉语通感形容词研究》，北京：北京大学出版社。

（二）论文

2025

Zhao, Qingqing, Yuhan Xia, Yunfei Long, Ge Xu & Jia Wang. 2025. Leveraging sensory knowledge into Text-to-text transfer transformer for enhanced emotion analysis. Information Processing & Management, 62(1), 103876. (SCI/SSCI)

Huang, Chu-Ren, Qingqing Zhao^* (co-first author), Kathleen Ahrens, Zhao Wang & Yunfei Long. 2025. Linguistic synesthesia and embodiment: A study based on Mandarin modality exclusivity norms. To appear in Language Sciences. (SSCI)

Wang, Zhao & Qingqing Zhao (co-first author). 2025. The mapping directionality of Mandarin synaesthesia: A study based on the self-paced reading task. To appear in Lecture Notes in Artificial Intelligence (LNAI). (EI)

2024

Zhao, Qingqing, Yunfei Long, Xiaotong Jiang, Zhongqing Wang, Chu-Ren Huang & Guodong Zhou. 2024. Linguistic synesthesia detection: Leveraging culturally enriched linguistic features. Natural Language Processing, 1-23. (SCI/SSCI)

Zhao, Qingqing, Xue Xiang & Zhongqing Wang. 2024. Exploring sensory knowledge and pre-training language models for Chinese metaphor detection. International Conference on Asian Language Processing, 120-126. (EI)

Xia, Yuhan, Qingqing Zhao, Yunfei Long, Ge Xu & Jia Wang. 2024. SensoryT5: Infusing sensorimotor norms into T5 for enhanced fine-grained emotion classification. The Workshop on Cognitive Aspects of the Lexicon, 162-174. (EI)

Xia, Yuhan, Qingqing Zhao, Yunfei Long & Ge Xu. 2024. Sensory features in affective analysis: A study based on neural network models. Lecture Notes in Artificial Intelligence (LNAI), 14515, 52-60. (EI)

2023

Sheng, Kun, Zhongqing Wang, Qingqing Zhao, Xiaotong Jiang & Guodong Zhou. 2023. A unified framework for synaesthesia analysis. Findings of the Association for Computational Linguistics: EMNLP 2023, 6038-6048. (EI)

2022

Zhao, Qingqing, Kathleen Ahrens & Chu-Ren Huang. 2022. Linguistic synesthesia is metaphorical: A lexical-conceptual account. Cognitive Linguistics, 33(3), 553-583. (SSCI)

Zhao, Qingqing & Yunfei Long. 2022. A diachronic study on linguistic synesthesia in Chinese. Lecture Notes in Artificial Intelligence (LNAI), 13250, 84-94. (EI)

Jiang, Xiaotong，Qingqing Zhao, Yunfei Long & Zhongqing Wang. 2022. Chinese synesthesia detection: New dataset and models. Findings of the Association for Computational Linguistics: ACL 2022, 3877-3887. (EI)

Zuoyang Song, Jiajuan Xiong, Qingqing Zhao & Chu-Ren Huang. 2022. Compounding is semantics-driven in Chinese. The Cambridge Handbook of Chinese Linguistics, 198-219.

2021

赵青青 2021. 通感隐喻视角的现代汉语ABB式状态形容词，《世界汉语教学》第2期，206-219。(CSSCI)

Zhao, Qingqing, Yue Xiao & Yunfei Long. 2021. Multi-task CNN for abusive language detection. Proceedings of 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning, 286-291. (EI)

2020

Zhao, Qingqing, Yunfei Long & Chu-Ren Huang. 2020. Linguistic synaesthesia of Mandarin sensory adjectives: Corpus-based and experimental approaches. Lecture Notes in Artificial Intelligence (LNAI), 11831, 139-146. (EI)

2019

赵青青、熊佳娟、黄居仁 2019. 通感、隐喻与认知———通感现象在汉语中的系统性表现与语言学价值，《中国语文》第2期，240-253。(CSSCI)

Zhao, Qingqing, Chu-Ren Huang & Kathleen Ahrens. 2019. Directionality of linguistic synesthesia in Mandarin: A corpus-based study. Lingua, 232, 1-15. (SSCI)

Chen, I-Hsuan, Qingqing Zhao, Yunfei Long, Qin Lu & Chu-Ren Huang. 2019. Mandarin Chinese modality exclusivity norms. PLoS ONE, 14(2), e0211336. (SCI)

2018

赵青青、黄居仁 2018 现代汉语通感隐喻的映射模型与制约机制，《语言教学与研究》，第1期，44-55。（CSSCI）

Zhao, Qingqing, Chu-Ren Huang & Yunfei Long. 2018. Synaesthesia in Chinese: A corpus-based study on gustatory adjectives in Mandarin. Linguistics, 56(5), 1167-1194. (SSCI)

Zhao, Qingqing, Chu-Ren Huang & Yat-mei Sophia Lee. 2018. From linguistic synaesthesia to embodiment: Asymmetrical representations of taste and smell in Mandarin Chinese. Lecture Notes in Artificial Intelligence (LNAI), 10709, 406-413. (EI)

赵青青、宋作艳（译），Pustejovsky, James, Anna Rumshisky, Olga Batiukova & Jessica L. Moszkowicz（著） 2018. GLML:基于生成词库的语义标注语言，宋作艳、黄居仁（编）《生成词库理论与汉语研究》(pp:1-31)，商务印书馆。

赵青青（译），林宗宏、刘琼怡（著） 2018. 强迫、事件结构与句法，宋作艳、黄居仁（编）《生成词库理论与汉语研究》（pp:174-200），商务印书馆。

2017

赵青青、宋作艳 2017. 现代汉语隐喻式双音节名名复合词研究——基于生成词库理论,《中文信息学报》第2期，11-17。（北大核心）

2015

宋作艳、赵青青、亢世勇 2015 汉语复合名词语义信息标注词库：基于生成词库理论，《中文信息学报》第3期，27-33。（北大核心）

Zhao, Qingqing & Chu-Ren Huang. 2015. A corpus-based study on synaesthetic adjectives in Modern Chinese. Lecture Notes in Artificial Intelligence (LNAI), 9332, 535-542. (EI)

Zhao, Qingqing, Chu-Ren Huang & Hongzhi Xu. 2015. Auditory synaesthesia and near synonyms: A corpus-based analysis of sheng1 and yin1 in Mandarin Chinese. Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), 315-322.

2013

Song, Zuoyan & Qingqing Zhao. 2013. Annotating qualia relations and types in Chinese compound nouns. International Journal of Knowledge and Language Processing, 4 (3), 39-47.

四、科研项目

2019-2024 主持国家社科基金青年项目“基于实验范式的现代汉语通感现象研究”（19CYY006）。

五、获奖情况

2020年2月，英文论文Directionality of linguistic synesthesia in Mandarin: A corpus-based study获Lingua期刊“Editor’s Choices”。

2019年6月，书稿Embodied Conceptualization or Neural Realization: A Corpus-Driven Study of Mandarin Synaesthetic Adjectives获“语言学前言丛书年度博士论文”最佳论文奖。

2018年11月，博士论文Synaesthesia, Metaphor, and Cognition: A Corpus-based Study on Synaesthesia Adjectives in Mandarin Chinese获得香港理工大学“Faculty of Humanities Distinguished Thesis Award”。