A Review of Entity Linking Research Based on Deep Learning

doi:10.13209/j.0479-8023.2020.077

Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2021, Vol. 57 ›› Issue (1): 91-98.DOI: 10.13209/j.0479-8023.2020.077

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A Review of Entity Linking Research Based on Deep Learning

LI Tianran, LIU Mingtong, ZHANG Yujie^†, XU Jin’an, CHEN Yufeng

School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044

Received:2020-06-06 Revised:2020-08-13 Online:2021-01-20 Published:2021-01-20
Contact: ZHANG Yujie, E-mail: yjzhang(at)bjtu.edu.cn

基于深度学习的实体链接研究综述

李天然, 刘明童, 张玉洁^†, 徐金安, 陈钰枫

北京交通大学计算机与信息技术学院, 北京 100044

通讯作者: 张玉洁, E-mail: yjzhang(at)bjtu.edu.cn
基金资助:
国家自然科学基金(61876198, 61976015, 61976016)资助

Abstract

Abstract:

The authors introduce the concept and steps of entity linking in detail, and the problems and research status of named entity linking based on deep learning in recent years, analyze the problems and corresponding solution models of entity linking and present related data sets and evaluation methods. The authors summarize the current status of entity linking in international evaluation conferences and analyze the future research directions.

Key words: entity linking, entity disambiguation, entity recognition, knowledge base, deep learning

摘要：

介绍实体链接的概念和步骤以及基于深度学习的命名实体链接相关问题和研究现状, 分析实体链接研究中存在的问题及相应的解决模型, 并介绍相关数据集和评测方法。总结国际评测会议中实体链接的现状, 展望未来的研究方向。

关键词: 实体链接, 实体消歧, 实体识别, 知识库, 深度学习

LI Tianran, LIU Mingtong, ZHANG Yujie, XU Jin’an, CHEN Yufeng. A Review of Entity Linking Research Based on Deep Learning[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2021, 57(1): 91-98.

李天然, 刘明童, 张玉洁, 徐金安, 陈钰枫. 基于深度学习的实体链接研究综述[J]. 北京大学学报自然科学版, 2021, 57(1): 91-98.

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URL: https://xbna.pku.edu.cn/EN/10.13209/j.0479-8023.2020.077

https://xbna.pku.edu.cn/EN/Y2021/V57/I1/91

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A Review of Entity Linking Research Based on Deep Learning

基于深度学习的实体链接研究综述

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