@inproceedings{6d73dbb3a6a44021a20c182c81763e51,
title = "Overview of the NLPCC 2024 Shared Task 5: Argument Mining for Chinese Argumentative Essay",
abstract = "This paper provides a comprehensive overview of the NLPCC 2024 shared Task 5: Argument Mining for Chinese Argumentative Essay (AMCAE). This task aims to identify the argument type which the sentences from an argumentative essay, authored by Chinese high school students, belong to, thus helping improve writing skills of students as well as the efficiency of teaching. There are 14 teams that submitted valid results, and we summarize some of the representative techniques used by participants. The task guideline and more information can be accessed at https://github.com/cubenlp/NLPCC-2024-Shared-Task 5.",
keywords = "Argument Component Detection, Argument Mining",
author = "Zheqin Yin and Yupei Ren and Man Lan and Yuanbin Wu and Aimin Zhou and Xiaopeng Bai",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 13th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2024 ; Conference date: 01-11-2024 Through 03-11-2024",
year = "2025",
doi = "10.1007/978-981-97-9443-0\_18",
language = "英语",
isbn = "9789819794423",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "213--222",
editor = "Wong, \{Derek F.\} and Zhongyu Wei and Muyun Yang",
booktitle = "Natural Language Processing and Chinese Computing - 13th National CCF Conference, NLPCC 2024, Proceedings",
address = "德国",
}