Chinese named entity identification using cascaded hidden Markov model
An approach for Chinese named entity identification using cascaded hidden Markov model,which aimed to incorporate person name,location name,organization name recognition into an integrated theoretical frame was presented.Simple named entity was recognized by lower HMM model after rough segmentation...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2006-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74666781/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841537332734328832 |
|---|---|
| author | YU Hong-kui1 ZHANG Hua-ping1 LIU Qun1 LV Xue-qiang2 SHI Shui-cai2 |
| author_facet | YU Hong-kui1 ZHANG Hua-ping1 LIU Qun1 LV Xue-qiang2 SHI Shui-cai2 |
| author_sort | YU Hong-kui1 |
| collection | DOAJ |
| description | An approach for Chinese named entity identification using cascaded hidden Markov model,which aimed to incorporate person name,location name,organization name recognition into an integrated theoretical frame was presented.Simple named entity was recognized by lower HMM model after rough segmentation and complex named entity such as person name,location name and organization name was recognized by higher HMM model using role tagging.In the test on large realistic corpus,its F-1 measure of person name,location name and organization name was 92.55%,94.53% and 86.51%.In the first international word segmentation bakeoff held by SIGHAN（the ACL Special Interest Group on Chinese Language Processing） in 2003.ICTCLAS,which name entity identification base on this model achieved excellent score. |
| format | Article |
| id | doaj-art-d8ea49d2a6984030aeffc6f37c98a459 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2006-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d8ea49d2a6984030aeffc6f37c98a4592025-01-14T08:39:42ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01879474666781Chinese named entity identification using cascaded hidden Markov modelYU Hong-kui1ZHANG Hua-ping1LIU Qun1LV Xue-qiang2SHI Shui-cai2An approach for Chinese named entity identification using cascaded hidden Markov model,which aimed to incorporate person name,location name,organization name recognition into an integrated theoretical frame was presented.Simple named entity was recognized by lower HMM model after rough segmentation and complex named entity such as person name,location name and organization name was recognized by higher HMM model using role tagging.In the test on large realistic corpus,its F-1 measure of person name,location name and organization name was 92.55%,94.53% and 86.51%.In the first international word segmentation bakeoff held by SIGHAN（the ACL Special Interest Group on Chinese Language Processing） in 2003.ICTCLAS,which name entity identification base on this model achieved excellent score.http://www.joconline.com.cn/zh/article/74666781/named entity identificationrole taggingICTCLAS |
| spellingShingle | YU Hong-kui1 ZHANG Hua-ping1 LIU Qun1 LV Xue-qiang2 SHI Shui-cai2 Chinese named entity identification using cascaded hidden Markov model Tongxin xuebao named entity identification role tagging ICTCLAS |
| title | Chinese named entity identification using cascaded hidden Markov model |
| title_full | Chinese named entity identification using cascaded hidden Markov model |
| title_fullStr | Chinese named entity identification using cascaded hidden Markov model |
| title_full_unstemmed | Chinese named entity identification using cascaded hidden Markov model |
| title_short | Chinese named entity identification using cascaded hidden Markov model |
| title_sort | chinese named entity identification using cascaded hidden markov model |
| topic | named entity identification role tagging ICTCLAS |
| url | http://www.joconline.com.cn/zh/article/74666781/ |
| work_keys_str_mv | AT yuhongkui1 chinesenamedentityidentificationusingcascadedhiddenmarkovmodel AT zhanghuaping1 chinesenamedentityidentificationusingcascadedhiddenmarkovmodel AT liuqun1 chinesenamedentityidentificationusingcascadedhiddenmarkovmodel AT lvxueqiang2 chinesenamedentityidentificationusingcascadedhiddenmarkovmodel AT shishuicai2 chinesenamedentityidentificationusingcascadedhiddenmarkovmodel |