Research on coreference resolution technology of entity in information security

To solve the problem of coreference resolution in information security,a hybrid method was proposed.Based on the BiLSTM-attention-CRF model,the domain-dictionary matching mechanism was introduced and combined with the attention mechanism at the document level.As a new dictionary-based attention mech...

Full description

Saved in:
Bibliographic Details
Main Authors: Han ZHANG, Yongjin HU, Yuanbo GUO, Jicheng CHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-02-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020033/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539378851086336
author Han ZHANG
Yongjin HU
Yuanbo GUO
Jicheng CHEN
author_facet Han ZHANG
Yongjin HU
Yuanbo GUO
Jicheng CHEN
author_sort Han ZHANG
collection DOAJ
description To solve the problem of coreference resolution in information security,a hybrid method was proposed.Based on the BiLSTM-attention-CRF model,the domain-dictionary matching mechanism was introduced and combined with the attention mechanism at the document level.As a new dictionary-based attention mechanism,the word features were calculated to solve the problem of weak recognition ability of rare entities and entities with long length when extracting candidates from text.And by summarizing the features of the domain texts,the candidates were coreferenced by rules and machine learning according to the part of speech to improve the accuracy.Through the experiments on security data set,the superiority of the method is proved from the aspects of coreference resolution and extraction of candidates from text .
format Article
id doaj-art-b8dae4380fef482b901dcaeb63b98bd6
institution Kabale University
issn 1000-436X
language zho
publishDate 2020-02-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b8dae4380fef482b901dcaeb63b98bd62025-01-14T07:18:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-02-014116517559733285Research on coreference resolution technology of entity in information securityHan ZHANGYongjin HUYuanbo GUOJicheng CHENTo solve the problem of coreference resolution in information security,a hybrid method was proposed.Based on the BiLSTM-attention-CRF model,the domain-dictionary matching mechanism was introduced and combined with the attention mechanism at the document level.As a new dictionary-based attention mechanism,the word features were calculated to solve the problem of weak recognition ability of rare entities and entities with long length when extracting candidates from text.And by summarizing the features of the domain texts,the candidates were coreferenced by rules and machine learning according to the part of speech to improve the accuracy.Through the experiments on security data set,the superiority of the method is proved from the aspects of coreference resolution and extraction of candidates from text .http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020033/coreference resolutionhybrid methoddomain-dictionary matching mechanismBiLSTM-attention-CRFinformation security
spellingShingle Han ZHANG
Yongjin HU
Yuanbo GUO
Jicheng CHEN
Research on coreference resolution technology of entity in information security
Tongxin xuebao
coreference resolution
hybrid method
domain-dictionary matching mechanism
BiLSTM-attention-CRF
information security
title Research on coreference resolution technology of entity in information security
title_full Research on coreference resolution technology of entity in information security
title_fullStr Research on coreference resolution technology of entity in information security
title_full_unstemmed Research on coreference resolution technology of entity in information security
title_short Research on coreference resolution technology of entity in information security
title_sort research on coreference resolution technology of entity in information security
topic coreference resolution
hybrid method
domain-dictionary matching mechanism
BiLSTM-attention-CRF
information security
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020033/
work_keys_str_mv AT hanzhang researchoncoreferenceresolutiontechnologyofentityininformationsecurity
AT yongjinhu researchoncoreferenceresolutiontechnologyofentityininformationsecurity
AT yuanboguo researchoncoreferenceresolutiontechnologyofentityininformationsecurity
AT jichengchen researchoncoreferenceresolutiontechnologyofentityininformationsecurity