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...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2020-02-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020033/ |
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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 |