受制于训练语料资源稀缺,中文论辩挖掘在政治领域的研究才刚刚起步。外交辞令、外事问答以及外宣公告都蕴含着丰富而微妙的政治论辩技巧,在外交领域开展政治论辩挖掘研究具有现实意义和应用价值。该文从在建的“多语外交对话语料库”得到启发,选取部分语料进行政治论辩观点标注、论辩关系标注和论辩句情感分析,初步建成了包含200篇外交部例行记者会实录中英文文本、1 536个话轮的中英双语政治论辩挖掘任务数据集BiDAM,并以示例的形式展示了该数据集的可用性。
Abstract
It is the scarcity of dataset that obstacles the development of political argument mining research in China. Diplomatic texts, as the typical form of political genre, demonstrate more vivid but logic debating skills and deserve more attention in argument mining tasks. Inspired by a corpus building for multilingual diplomatic dialogue texts, we select 200 transcribed texts for each Chinese and English Press Regular Conferences, which can be split into 1,536 diplomatic Q/A turns. We annotate Claims, Premises and their relations so that a Chinese-English bilingual dataset for political argument miming tasks (BiDAM) is constructed. We also make the sentiment analysis for each extracted argument for the further studies.
关键词
政治论辩 /
多语外交对话语料库 /
跨语言论辩挖掘 /
论辩挖掘任务数据集
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Key words
political debate /
multilingual diplomatic dialogue corpus /
cross-lingual argument mining /
dataset for argument mining tasks
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基金
西交利物浦大学科研发展基金(RDF-22-01-053);广东省安全智能新技术重点实验室开放课题基金(2022B1212010005)
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