@inproceedings{668a7472cebe496e957d525f20785bb2,
title = "CCL23-Eval任务3系统报告:苏州大学CFSP系统",
abstract = "This paper introduces the model we submitted in the shared task of Chinese Frame Semantic Parsing (CFSP) at the Twenty-second China National Conference on Computational Linguistics. Frame Semantic Parsing (FSP) is an important task in Natural language Processing, aiming to extract the frame semantic structure from the sentence. This work uses end-to-end frameworks to parse the three sub-tasks of CFSP (Frame Identification, Argument Identification, and Role Identification), and employs Data Augmentation and Voting Technique to further improve the accuracy of prediction. In the end, we achieved second place in the testA set and third place in the testB set.",
keywords = "Chinese Frame Semantic Parsing, Data Enhancement, End-to-End, Voting Technique",
author = "Yahui Liu and Zhenghua Li and Min Zhang",
note = "Publisher Copyright: {\textcopyright} 2023 China National Conference on Computational Linguistics.; 22nd Chinese National Conference on Computational Linguistics, CCL 2023 ; Conference date: 03-08-2023 Through 05-08-2023",
year = "2023",
language = "繁体中文",
series = "Proceedings of the 22nd Chinese National Conference on Computational Linguistics, CCL 2023",
publisher = "Association for Computational Linguistics (ACL)",
pages = "84--93",
editor = "Maosong Sun and Bing Qin and Xipeng Qiu and Jing Jiang and Xianpei Han",
booktitle = "Evaluations",
address = "澳大利亚",
}