SubmissionNumber#=%=#22
FinalPaperTitle#=%=#Improving Multi-label Classification of Similar Languages by Semantics-Aware Word Embeddings
ShortPaperTitle#=%=#
NumberOfPages#=%=#6
CopyrightSigned#=%=#
JobTitle#==#
Organization#==#
Abstract#==#The VLP team participated in the DSL-ML shared task of the VarDial 2024 workshop which aims to distinguish texts in similar languages. This paper presents our approach to solving the problem and discusses our experimental and official results. We propose to integrate semantics-aware word embeddings which are learned from ConceptNet into a bidirectional long short-term memory network. This approach achieves good performance – our sys- tem is ranked in the top two or three of the best performing teams for the task.
Author{1}{Firstname}#=%=#The Quyen
Author{1}{Lastname}#=%=#Ngo
Author{1}{Email}#=%=#ngoquyenbg@gmail.com
Author{1}{Affiliation}#=%=#Vietnam National University, Hanoi
Author{2}{Firstname}#=%=#Thi Anh Phuong
Author{2}{Lastname}#=%=#Nguyen
Author{2}{Email}#=%=#ntaphuong@ioit.ac.vn
Author{2}{Affiliation}#=%=#Vietnam National University, Hanoi
Author{3}{Firstname}#=%=#My Linh
Author{3}{Lastname}#=%=#Ha
Author{3}{Email}#=%=#halinh.hus@gmail.com
Author{3}{Affiliation}#=%=#Vietnam National University, Hanoi
Author{4}{Firstname}#=%=#Thi Minh Huyen
Author{4}{Lastname}#=%=#Nguyen
Author{4}{Email}#=%=#ntmhuyen@gmail.com
Author{4}{Affiliation}#=%=#Vietnam National University, Hanoi
Author{5}{Firstname}#=%=#Phuong
Author{5}{Lastname}#=%=#Le-Hong
Author{5}{Username}#=%=#phuonglh
Author{5}{Email}#=%=#phuonglh@gmail.com
Author{5}{Affiliation}#=%=#Vietnam National University, Hanoi

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