Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68254
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dc.contributorDepartment of Computing-
dc.contributorDepartment of Chinese and Bilingual Studies-
dc.creatorXiong, D-
dc.creatorLu, Q-
dc.creatorLuo, F-
dc.creatorShi, D-
dc.creatorZhao, T-
dc.date.accessioned2017-07-27T08:36:01Z-
dc.date.available2017-07-27T08:36:01Z-
dc.identifier.issn1003-0077-
dc.identifier.urihttp://hdl.handle.net/10397/68254-
dc.language.isozhen_US
dc.publisher中国中文信息学会 ; 北京信息工程学院en_US
dc.rights© 2015 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.rights© 2015 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.en_US
dc.subjectNamed entity annotationen_US
dc.subjectClassification of personal names and terms of addressen_US
dc.subjectCorpus constructionen_US
dc.titleA corpus-based study on personal names and terms of address in Chinese classical novelsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage19-
dc.identifier.epage27-
dc.identifier.volume29-
dc.identifier.issue1-
dcterms.abstract在自然语言处理及其应用领域,人名和称谓作为重要的命名实体,是信息处理的关键部分之一。该文从命名实体识别和资讯提取的角度出发,在对4部明清古典小说的语料库进行标注的前提下,建构了姓名、字号和称谓作为命名实体的分类及标注系统。人名和称谓总体上分为单一型和复合型,根据复合型的内部组成元素和组合方式,将其进一步分为固定式、同位式、附属嵌套式、灵活嵌套式。结合语料库的完整数据统计,该文对各类型人名和称谓进行了比较分析,并分别展示了4部名著在人名、称谓使用上的特点。-
dcterms.abstractPersonal names and terms of address are important parts of named entities.The recognition of personal names as well as terms of address is ans essential issue in natural language processing.This paper presents a classification and annotation scheme for personal names and terms of address from the perspective of named entity recognition and information extraction on a corpus of four Chinese classical novels.Personal names and terms of address are categorized into simple types and compound types.And the compound-type is further categorized into four subtypes,fixed expressions,appositive constructions,subordinate constructions of affiliation,and other subordinate constructions.This paper also presents a comparative analysis on these types and the characteristics of the four novels based on full statistics of the annotated corpus.-
dcterms.accessRightsopen accessen_US
dcterms.alternative基于语料库的明清小说人名与称谓研究-
dcterms.bibliographicCitation中文信息学报 (Journal of Chinese information processing), 2015, v. 29, no. 1, p. 19-27-
dcterms.isPartOf中文信息学报 (Journal of Chinese information processing)-
dcterms.issued2015-
dc.identifier.rosgroupid2014000943-
dc.description.ros2014-2015 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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