版权说明 操作指南
首页 > 成果 > 详情

Joint SPSL and CCWR for Chinese Short Text Entity Recognition and Linking

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Zhiqiang Chong;Zhiming Liu;Zhi Tang;Lingyun Luo;Yaping Wan
通讯作者:
Liu, Z.
作者机构:
[Liu Z.; Tang Z.; Luo L.; Wan Y.; Chong Z.] School of Computer, University of South China, Hengyang, 421001, China
通讯机构:
[Liu, Z.] S
School of Computer, China
语种:
英文
关键词:
CCWR;Entity linking;Entity Recognition;SPSL
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2020
卷:
1181
页码:
186-199
会议名称:
16th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2019
会议论文集名称:
Digital TV and Wireless Multimedia Communication
会议时间:
19 September 2019 through 20 September 2019
主编:
Guangtao Zhai<&wdkj&>Jun Zhou<&wdkj&>Hua Yang<&wdkj&>Ping An<&wdkj&>Xiaokang Yang
出版者:
Springer, Singapore
ISBN:
978-981-15-3340-2
基金类别:
Acknowledgment. This work was financially supported by the Natural Science Foundation Youth Project of Hunan Province (No. 2019JJ50520).
机构署名:
本校为第一机构
摘要:
Entity Recognition Linking (ERL) is a basic task of Natural Language Processing (NLP), which is an extension of the Named Entity Recognition (NER) task. The purpose of the ERL is to detect the entity from a given Chinese short text, and the detected entity is linking to the corresponding entity in the given knowledge library. ERL’s task include two subtasks: Entity Recognition (ER) and Entity Link (EL). Due to the lack of rich context information in Chinese short text, the accuracy of ER is not high. In different fields, the meaning of the ent...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com