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2023 SemEval SemEval 2023

Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTa

Abstract

AbstractIdentifying human values behind arguments isa complex task which requires understandingof premise, stance and conclusion together. Wepropose a method that uses a pre-trained lan-guage model, DeBERTa, to tokenize and con-catenate the text before feeding it into a fullyconnected neural network. We also show thatleveraging the hierarchy in values improves theperformance by .14 F1 score.

Authors

Pavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, Vasudeva Varma

Topics

Machine Learning > Core Methods > Classification Deep Learning > Architectures > Transformers

Keywords

text classification hierarchical classification argument mining transformer model neural network

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