使用语义组合增强位置信息

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-01 DOI:10.1109/CSE.2010.70

H. Cankaya, Eduardo Blanco, D. Moldovan

{"title":"使用语义组合增强位置信息","authors":"H. Cankaya, Eduardo Blanco, D. Moldovan","doi":"10.1109/CSE.2010.70","DOIUrl":null,"url":null,"abstract":"This paper presents a method to enhance location awareness by using semantic composition of AT-LOCATION and PART-WHOLE semantic relations. The method generates axioms that infer new location relations based on relations that are extracted by a semantic parser. Experimental study with WordNet glosses shows that the method increases the amount of location knowledge by two orders of magnitude. The precision of the results is 98%.","PeriodicalId":342688,"journal":{"name":"2010 13th IEEE International Conference on Computational Science and Engineering","volume":"18 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing LOCATION Information Using Semantic Composition\",\"authors\":\"H. Cankaya, Eduardo Blanco, D. Moldovan\",\"doi\":\"10.1109/CSE.2010.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method to enhance location awareness by using semantic composition of AT-LOCATION and PART-WHOLE semantic relations. The method generates axioms that infer new location relations based on relations that are extracted by a semantic parser. Experimental study with WordNet glosses shows that the method increases the amount of location knowledge by two orders of magnitude. The precision of the results is 98%.\",\"PeriodicalId\":342688,\"journal\":{\"name\":\"2010 13th IEEE International Conference on Computational Science and Engineering\",\"volume\":\"18 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 13th IEEE International Conference on Computational Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSE.2010.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 13th IEEE International Conference on Computational Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSE.2010.70","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

本文提出了一种利用AT-LOCATION和PART-WHOLE语义关系的语义组合来增强位置感知的方法。该方法生成公理，根据语义解析器提取的关系推断新的位置关系。以WordNet为例进行的实验研究表明，该方法将位置知识的数量提高了两个数量级。结果的准确度为98%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Enhancing LOCATION Information Using Semantic Composition

This paper presents a method to enhance location awareness by using semantic composition of AT-LOCATION and PART-WHOLE semantic relations. The method generates axioms that infer new location relations based on relations that are extracted by a semantic parser. Experimental study with WordNet glosses shows that the method increases the amount of location knowledge by two orders of magnitude. The precision of the results is 98%.

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

2010 13th IEEE International Conference on Computational Science and Engineering

自引率

0.00%

发文量