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  • 标题:The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts
  • 本地全文:下载
  • 作者:Rachele Sprugnoli ; Tommaso Caselli ; Sara Tonelli
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2017
  • 卷号:2017
  • 页码:260-266
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:This paper presents a new resource, called Content Types Dataset, to promote the analysis of texts as a composition of units with specific semantic and functional roles. By developing this dataset, we also introduce a new NLP task for the automatic classification of Content Types. The annotation scheme and the dataset are described together with two sets of classification experiments.
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