Cross-document coreference resolution model based on neural entity embedding
Natural Language Processing (NLP) is a way for computers to derive, analyze, and understand the meaning of human language in a smart and useful way. NLP considers the hierarchical structure of language that enables real-world applications such as automatic text summarization, event resolution, relat...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/106978/1/AliakbarKeshtkaranPFTIR2021.pdf http://eprints.utm.my/106978/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:156348?site_name=Restricted+Repository&query=Cross-document+coreference+resolution+model+based+on+neural+entity+embedding&queryType=vitalDismax |
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http://eprints.utm.my/106978/1/AliakbarKeshtkaranPFTIR2021.pdfhttp://eprints.utm.my/106978/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:156348?site_name=Restricted+Repository&query=Cross-document+coreference+resolution+model+based+on+neural+entity+embedding&queryType=vitalDismax