个人简介

陈冠毅（英文主页，谷歌学术），男，博士。2022年毕业于乌特勒支大学信息与计算科学学院。2022年-2023年在乌特勒支大学担任讲师，2023年入职华中师范大学计算机学院。主要研究方向为自然语言处理、计算语用学等，已发表学术论文32篇。

联系方式

办公地址：华中师范大学南湖综合楼7078

邮箱：g.chen@ccnu.edu.cn

研究方向

自然语言生成：语言生成理论、自然语言生成评测、中文自然语言生成等

(计算)语用学：中文语用学、指代、量化、歧义等

大语言模型

近两年发表论文（完整列表请参考英文主页或谷歌学术；*代表共同一作或通信作者）

1. Intrinsic Task-based Evaluation for Referring Expression Generation. Guanyi Chen, Fahime Same, Kees van Deemter. Preprint. 2024

2. Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases. Yuqi Liu, Guanyi Chen*, and Kees van Deemter. LREC-COLING. 2024

3. GPTEval: A Survey on Assessments of ChatGPT and GPT-4. Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria. LREC-COLING. 2024.

4. A Survey on Semantic Processing Techniques. Rui Mao∗, Kai He∗, Xulang Zhang∗, Guanyi Chen∗, Jinjie Ni∗, Zonglin Yanga∗, Erik Cambria. Information Fusion. 2024.

5. Varieties of specification: Redefining over- and under-specification. Guanyi Chen, Kees van Deemter. Journal of Pragmatics. 2023.

6. Computational modelling of quantifier use: Elicitation experiments, models, and evaluation. Guanyi Chen, Kees van Deemter. Journal of Artificial Intelligence Research. 2023.

7. Neural Referential Form Selection: Generalisability and Interpretability. Guanyi Chen, Fahime Same, Kees van Deemter. Computer Speech and Language. 2023.

8. Models of reference production: How do they withstand the test of time? Fahime Same, Guanyi Chen, Kees van Deemter. INLG 2023.

9. A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria. IJCNN 2023.

10. MMchat: Multi-modal chat dataset on social media. Yinhe Zheng∗, Guanyi Chen∗, Xin Liu, Jian Sun, LREC 2022.

11. Non-neural models can matter: A re-evaluation of neural referring expression generation systems. Fahime Same∗, Guanyi Chen∗, Kees van Deemter. ACL 2022

12. Understanding the use of quantifiers in mandarin. Guanyi Chen, Kees van Deemter. AACL-Findings 2022.