NLAS-multi:一个自动生成的自然语言论证方案的多语言集体.
Ramon Ruiz-Dolz1, Joaquin Taverner2, John Lawrence1
1Centre for Argument Technology, University of Dundee, Dundee DD1 4HN, United Kingdom.
Data in brief
|November 25, 2024
概括
本研究引入了一种用于自动生成各种主题和语言的自然语言参数的新方法. 它还介绍了迄今为止最大的自然语言论证方案,解决了论证分析的关键局限性.
科学领域:
- 自然语言处理自然语言处理.
- 计算语言学 计算语言学
- 人工智能的人工智能
背景情况:
- 论点挖掘和生成面临着数据注释复杂性的挑战.
- 有限的语料库大小和多语言/域限制阻碍了论证分析的进步.
研究的目的:
- 开发一种用于自动生成自然语言参数的有效方法.
- 创建最大的公开可用的自然语言论证方案库.
主要方法:
- 开发了一种用于自动引证生成的新方法.
- 编制并发布了一个全面的论证方案集体.
主要成果:
- 在各种主题和语言中成功生成自然语言论证.
- 建立了自然语言论证方案的最大公共库.
结论:
- 拟议的方法有效地解决了参数生成中的局限性.
- 新的语料库显著推进了自然语言论证分析和挖掘方面的研究.
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