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bat365平台用户官网。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30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：自然语言生成理论、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

近期发表论文（完整列表请参考英文主页或谷歌学术；*代表共同一作）

1. GPTEval: A Survey on Assessments of ChatGPT and GPT-4, Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria. Preprint. 2023.

2. A Survey on Semantic Processing Techniques, Rui Mao∗, Kai He∗, Xulang Zhang∗, Guanyi Chen∗, Jinjie Ni∗, Zonglin Yanga∗, Erik Cambria. Information Fusion. 2023.

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

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

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

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

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

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

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

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