A Method of Word Sense Disambiguation with Restricted Boltzmann Machine
For polysemy phenomenon in Chinese, Restricted Boltzmann Machine (RBM) is adopted to determine the true meaning of ambiguous vocabulary where linguistic knowledge in context is used Word form, part of speech and semantic categories in four left and right lexical units adjacent to an ambiguous word...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2019-10-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1738 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849331275165335552 |
|---|---|
| author | ZHANG Chun-xiang LI Hai-rui GAO Xue-yao |
| author_facet | ZHANG Chun-xiang LI Hai-rui GAO Xue-yao |
| author_sort | ZHANG Chun-xiang |
| collection | DOAJ |
| description | For polysemy phenomenon in Chinese, Restricted Boltzmann Machine (RBM) is adopted to determine the true meaning of ambiguous vocabulary where linguistic knowledge in context is used Word form, part of speech and semantic categories in four left and right lexical units adjacent to an ambiguous word are selected as disambiguation features At the same time, RBM is used to construct word sense disambiguation (WSD) model Training corpus in SemEval-2007: Task#5 and semantic annotation corpus in Harbin Institute of Technology are used to optimize parameters of RBM Test corpus in SemEval-2007: Task#5 is used to evaluate WSD model Experimental results show that compared with Bayesian word sense disambiguation classifier, disambiguation accuracy of WSD method with RBM is improved |
| format | Article |
| id | doaj-art-b4e98ef49814430cac93f313acbb7ee9 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2019-10-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-b4e98ef49814430cac93f313acbb7ee92025-08-20T03:46:38ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-10-01240511612110.15938/j.jhust.2019.05.019A Method of Word Sense Disambiguation with Restricted Boltzmann MachineZHANG Chun-xiang0LI Hai-rui1GAO Xue-yao2School of Software and Microelectronics, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaFor polysemy phenomenon in Chinese, Restricted Boltzmann Machine (RBM) is adopted to determine the true meaning of ambiguous vocabulary where linguistic knowledge in context is used Word form, part of speech and semantic categories in four left and right lexical units adjacent to an ambiguous word are selected as disambiguation features At the same time, RBM is used to construct word sense disambiguation (WSD) model Training corpus in SemEval-2007: Task#5 and semantic annotation corpus in Harbin Institute of Technology are used to optimize parameters of RBM Test corpus in SemEval-2007: Task#5 is used to evaluate WSD model Experimental results show that compared with Bayesian word sense disambiguation classifier, disambiguation accuracy of WSD method with RBM is improvedhttps://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1738restricted boltzmann machinedisambiguation featuresword sense disambiguationtraining corpus |
| spellingShingle | ZHANG Chun-xiang LI Hai-rui GAO Xue-yao A Method of Word Sense Disambiguation with Restricted Boltzmann Machine Journal of Harbin University of Science and Technology restricted boltzmann machine disambiguation features word sense disambiguation training corpus |
| title | A Method of Word Sense Disambiguation with Restricted Boltzmann Machine |
| title_full | A Method of Word Sense Disambiguation with Restricted Boltzmann Machine |
| title_fullStr | A Method of Word Sense Disambiguation with Restricted Boltzmann Machine |
| title_full_unstemmed | A Method of Word Sense Disambiguation with Restricted Boltzmann Machine |
| title_short | A Method of Word Sense Disambiguation with Restricted Boltzmann Machine |
| title_sort | method of word sense disambiguation with restricted boltzmann machine |
| topic | restricted boltzmann machine disambiguation features word sense disambiguation training corpus |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1738 |
| work_keys_str_mv | AT zhangchunxiang amethodofwordsensedisambiguationwithrestrictedboltzmannmachine AT lihairui amethodofwordsensedisambiguationwithrestrictedboltzmannmachine AT gaoxueyao amethodofwordsensedisambiguationwithrestrictedboltzmannmachine AT zhangchunxiang methodofwordsensedisambiguationwithrestrictedboltzmannmachine AT lihairui methodofwordsensedisambiguationwithrestrictedboltzmannmachine AT gaoxueyao methodofwordsensedisambiguationwithrestrictedboltzmannmachine |