VIETNAMESE ABSTRACTIVE TEXT SUMMARIZATION USING PROPHETNET

Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/86936

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Lâm, Nhựt Khang	-
dc.contributor.author	Nguyễn, Nhật Quang	-
dc.date.accessioned	2023-05-23T02:39:23Z	-
dc.date.available	2023-05-23T02:39:23Z	-
dc.date.issued	2021	-
dc.identifier.other	B1607016	-
dc.identifier.uri	https://dspace.ctu.edu.vn/jspui/handle/123456789/86936	-
dc.description	34 Tr	vi_VN
dc.description.abstract	The thesis studies a method of creating abstractive text summaries using pre trained ProphetNet model in Vietnamese language. In our experiment, the pretrained model will be fine-tuned on a Vietnamese dataset. During inference, Beam Search algorithm is used to select words generated for summaries. The summary which the model generated should consist of sentences which represent the core ideas of the Vietnamese original documents. ROUGE metric is used to evaluate the performance of the abstractive text summarization model.	vi_VN
dc.language.iso	en	vi_VN
dc.publisher	Trường Đại Học Cần Thơ	vi_VN
dc.subject	CÔNG NGHỆ THÔNG TIN - CHẤT LƯỢNG CAO	vi_VN
dc.title	VIETNAMESE ABSTRACTIVE TEXT SUMMARIZATION USING PROPHETNET	vi_VN
dc.type	Thesis	vi_VN
Appears in Collections:	Trường Công nghệ Thông tin & Truyền thông

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