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A Survey of Discourse Representations for Chinese Discourse Annotation | |
Kang, Xiaomian1,2![]() ![]() | |
发表期刊 | ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING
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ISSN | 2375-4699 |
2019-01 | |
卷号 | 18期号:3页码:Article 26 |
摘要 | A key element in computational discourse analysis is the design of a formal representation for the discourse structure of a text. With machine learning being the dominant method, it is important to identify a discourse representation that can be used to perform large-scale annotation. This survey provides a systematic analysis of existing discourse representation theories to evaluate whether they are suitable for annotation of Chinese text. Specifically, the two properties, expressiveness and practicality, are introduced to compare the representations of theories based on rhetorical relations and the representations of theories based on entity relations. The comparison systematically reveals linguistic and computational characteristics of the theories. After that, we conclude that none of the existing theories are quite suitable for scalable Chinese discourse annotation because they are not both expressive and practical. Therefore, a new discourse representation needs to be proposed, which should balance the expressiveness and practicality, and cover rhetorical relations and entity relations. Inspired by the conclusions, this survey discusses some preliminary proposals on how to represent the discourse structure that are worth pursuing. |
关键词 | discourse representation discourse theory discourse structure discourse analysis |
DOI | 10.1145/3293442 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61333018] ; National Natural Science Foundation of China[61333018] |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000496767600007 |
出版者 | ASSOC COMPUTING MACHINERY |
七大方向——子方向分类 | 自然语言处理 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/28831 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Kang, Xiaomian |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences, China 3.CAS Center for Excellence in Brain Science and Intelligence Technology 4.Brandeis University, USA |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Kang, Xiaomian,Zong, Chengqing,Xue, Nianwen. A Survey of Discourse Representations for Chinese Discourse Annotation[J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,2019,18(3):Article 26. |
APA | Kang, Xiaomian,Zong, Chengqing,&Xue, Nianwen.(2019).A Survey of Discourse Representations for Chinese Discourse Annotation.ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,18(3),Article 26. |
MLA | Kang, Xiaomian,et al."A Survey of Discourse Representations for Chinese Discourse Annotation".ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 18.3(2019):Article 26. |
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