阿拉伯语命名实体消歧的混合方法

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI:10.1145/2809563.2809589

Mohammad Al-Smadi, Bashar Talafha, Omar Qawasmeh, Mohammed N. Alandoli, Wegdan A. Hussien, C. Gütl

{"title":"阿拉伯语命名实体消歧的混合方法","authors":"Mohammad Al-Smadi, Bashar Talafha, Omar Qawasmeh, Mohammed N. Alandoli, Wegdan A. Hussien, C. Gütl","doi":"10.1145/2809563.2809589","DOIUrl":null,"url":null,"abstract":"This research aims at tackling the problem of Arabic Named Entity Disambiguation (NED) through an enhanced approach of information extraction from DBpedia and Arabic Wikipedia using query label expansion and text similarity techniques.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"73 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A hybrid approach for Arabic named entity disambiguation\",\"authors\":\"Mohammad Al-Smadi, Bashar Talafha, Omar Qawasmeh, Mohammed N. Alandoli, Wegdan A. Hussien, C. Gütl\",\"doi\":\"10.1145/2809563.2809589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aims at tackling the problem of Arabic Named Entity Disambiguation (NED) through an enhanced approach of information extraction from DBpedia and Arabic Wikipedia using query label expansion and text similarity techniques.\",\"PeriodicalId\":20526,\"journal\":{\"name\":\"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business\",\"volume\":\"73 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2809563.2809589\",\"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 15th International Conference on Knowledge Technologies and Data-driven Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2809563.2809589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

本研究旨在通过使用查询标签扩展和文本相似技术从DBpedia和阿拉伯语维基百科中提取信息的增强方法来解决阿拉伯语命名实体消歧(NED)问题。

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

A hybrid approach for Arabic named entity disambiguation

This research aims at tackling the problem of Arabic Named Entity Disambiguation (NED) through an enhanced approach of information extraction from DBpedia and Arabic Wikipedia using query label expansion and text similarity techniques.

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

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

自引率

0.00%

发文量