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Question classification for the travel domain using deep contextualised word embedding models

By: Weerakoon, Charmy YasodharaContributor(s): Dr. Surangika Ranathunga [supervisor]Language: English Publisher: [2021]Description: xi, 56p. : graphs, col. ill., tables, CD-ROMSubject(s): DEEP CONTEXTUALIZED WORD EMBEDDING MODELS | QUESTION CLASSIFICATION | WORD EMBEDDING | NATURAL LANGUAGE PROCESSING | INFORMATION TECHNOLOGY -Dissertation | COMPUTER SCIENCE -Dissertation | COMPUTER SCIENCE & ENGINEERING -Dissertation | MSc in Computer ScienceOnline resources: Click here to access online Dissertation note: Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2021
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
Thesis Collection
004(043) (Browse shelf) DCS 05/168 LB/TH/21/2021 Not For Loan (Restricted Access) TH4587

M.Sc. in Computer Science & Engineering

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Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2021

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