当代汉语语义知识库及其在WSD中的应用

Hui Wang, Shiwen Yu
{"title":"当代汉语语义知识库及其在WSD中的应用","authors":"Hui Wang, Shiwen Yu","doi":"10.3115/1119250.1119266","DOIUrl":null,"url":null,"abstract":"The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese linguistics and language engineering. The descriptions of semantic attributes are fairly thorough, comprehensive and authoritative. The paper introduces the outline of SKCC, and indicates that it is effective for word sense disambiguation in MT applications and is likely to be important for general Chinese language processing.","PeriodicalId":403123,"journal":{"name":"Workshop on Chinese Language Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"The semantic Knowledge-base of Contemporary Chinese and Its Applications in WSD\",\"authors\":\"Hui Wang, Shiwen Yu\",\"doi\":\"10.3115/1119250.1119266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese linguistics and language engineering. The descriptions of semantic attributes are fairly thorough, comprehensive and authoritative. The paper introduces the outline of SKCC, and indicates that it is effective for word sense disambiguation in MT applications and is likely to be important for general Chinese language processing.\",\"PeriodicalId\":403123,\"journal\":{\"name\":\"Workshop on Chinese Language Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Chinese Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1119250.1119266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Chinese Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1119250.1119266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

现代汉语语义知识库(SKCC)是北京大学计算语言学研究所开发的大型汉语语义资源。它为66,539个汉语和英语对应词提供了大量的语义信息,如语义层次和搭配特征。它的词性和语义分类代表了汉语语言学和语言工程的最新进展。对语义属性的描述比较透彻、全面和权威。本文介绍了SKCC的概况,指出SKCC在机器翻译应用中的词义消歧是有效的,在一般汉语语言处理中可能具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The semantic Knowledge-base of Contemporary Chinese and Its Applications in WSD
The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese linguistics and language engineering. The descriptions of semantic attributes are fairly thorough, comprehensive and authoritative. The paper introduces the outline of SKCC, and indicates that it is effective for word sense disambiguation in MT applications and is likely to be important for general Chinese language processing.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Building a Large Chinese Corpus Annotated with Semantic Dependency A Two-stage Statistical Word Segmentation System for Chinese Unsupervised Training for Overlapping Ambiguity Resolution in Chinese Word Segmentation Chinese Word Segmentation in MSR-NLP Annotating the Propositions in the Penn Chinese Treebank
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1