汉语信息处理中“prep+n1+de+n2”结构的消歧研究

Song Gao, Yiyi Zhao, Haitao Liu, Zhiwei Feng
{"title":"汉语信息处理中“prep+n1+de+n2”结构的消歧研究","authors":"Song Gao, Yiyi Zhao, Haitao Liu, Zhiwei Feng","doi":"10.1109/NLPKE.2010.5587784","DOIUrl":null,"url":null,"abstract":"According to Potential Ambiguity Theory, we analyzed “prep+n1+ de+n2” phrase in this paper. We focus on how to make computer automatically detect and process such syntactic ambiguity structure. The purpose is to raise the accuracy rate of the automatic identification and analysis of natural language. At the same time, we take this structure for example, in order to help study other potential ambiguity structures.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on disambiguation of structure “prep+n1+de+n2” for Chinese information processing\",\"authors\":\"Song Gao, Yiyi Zhao, Haitao Liu, Zhiwei Feng\",\"doi\":\"10.1109/NLPKE.2010.5587784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to Potential Ambiguity Theory, we analyzed “prep+n1+ de+n2” phrase in this paper. We focus on how to make computer automatically detect and process such syntactic ambiguity structure. The purpose is to raise the accuracy rate of the automatic identification and analysis of natural language. At the same time, we take this structure for example, in order to help study other potential ambiguity structures.\",\"PeriodicalId\":259975,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NLPKE.2010.5587784\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NLPKE.2010.5587784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

根据潜在歧义理论,本文对“prep+n1+ de+n2”短语进行了分析。重点研究了如何使计算机自动检测和处理这种句法歧义结构。目的是提高自然语言自动识别与分析的准确率。同时,我们以这个结构为例,以帮助研究其他潜在的歧义结构。
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
A study on disambiguation of structure “prep+n1+de+n2” for Chinese information processing
According to Potential Ambiguity Theory, we analyzed “prep+n1+ de+n2” phrase in this paper. We focus on how to make computer automatically detect and process such syntactic ambiguity structure. The purpose is to raise the accuracy rate of the automatic identification and analysis of natural language. At the same time, we take this structure for example, in order to help study other potential ambiguity structures.
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
Dashboard: An integration and testing platform based on backboard architecture for NLP applications Chinese semantic role labeling based on semantic knowledge Transitivity in semantic relation learning Wisdom media “CAIWA Channel” based on natural language interface agent A new cascade algorithm based on CRFs for recognizing Chinese verb-object collocation
×
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