指挥控制与仿真2024，Vol.46Issue(3)：123-129,7.DOI:10.3969/j.issn.1673-3819.2024.03.018
一种融入领域知识的领域短文本命名实体识别方法
A domain short text naming entity recognition method integrated with domain knowledge
戎纪光 1任志国 1李书强1
作者信息
- 1. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
- 折叠
摘要
Abstract
Addressing the issue of relatively low recognition rates for named entities in domain-specific short texts under re-source-constrained computational environments,a novel hybrid model combining a Dual BiLSTM_CRF architecture with a fully connected network is designed to identify named entities in these texts.The model leverages critical knowledge entities and their key relationships from a domain knowledge graph,which undergoes projection transformation,clustering,and global vector word embedding processing.Based on the calculation of word vector similarities,it identifies similar critical knowledge entities to those being recognized within the domain.These identified knowledge entities are then substituted into the original domain short text,generating an augmented version that is fed,along with the unmodified text,into the model for named entity recognition.This integration of domain knowledge into the recognition process of named entities in domain-spe-cific short texts has shown promising results.Experimental outcomes demonstrate that this method outperforms existing com-parable approaches in terms of its enhanced identification capabilities.关键词
知识图谱/知识实体/命名实体识别/双向长短期记忆网络Key words
knowledge graph/knowledge entity/named entity recognition/bidirectional long short-term memory networks分类
信息技术与安全科学引用本文复制引用
戎纪光,任志国,李书强..一种融入领域知识的领域短文本命名实体识别方法[J].指挥控制与仿真,2024,46(3):123-129,7.
