Title | ||
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Corpus for the legal information processing system (CLIPS): A Chinese legal corpus annotated with discourse information |
Abstract | ||
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The paper presents the Corpus for the Legal Information Processing System, a corpus annotated with discourse relations based on Discourse Information Theory (DIT) that takes account of both macro- and micro-structures at discourse level. The information units and information elements in Chinese legal discourses are firstly characterized, and then a 16-valued classification of information units for macro-structure of discourse relations and a 25-valued classification of information elements for micro-structure of discourse relations are introduced. The paper also describes how the annotation strategy procedure is designed and the annotation conduction based on the above characterization. |
Year | DOI | Venue |
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2017 | 10.1109/IALP.2017.8300536 | 2017 International Conference on Asian Language Processing (IALP) |
Keywords | Field | DocType |
discourse annotation,discourse information,information knot,information element,info-tagging | Information theory,Annotation,Computer science,Information processor,Information element,Artificial intelligence,Natural language processing,Macro,CLIPS | Conference |
ISSN | ISBN | Citations |
2159-1962 | 978-1-5386-1982-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hong Wang | 1 | 7 | 8.30 |
Yunfeng Ge | 2 | 2 | 1.73 |