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2023 SemEval SemEval 2023

Quintilian at SemEval-2023 Task 4: Grouped BERT for Multi-Label Classification

Abstract

AbstractIn this paper, we initially discuss about the ValueEval task and the challenges involved in multi-label classification tasks. We tried to approach this task using Natural Language Inference and proposed a Grouped-BERT architecture which leverages commonality between the classes for a multi-label classification tasks.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Ajay Narasimha Mopidevi, Hemanth Chenna

Topics

Machine Learning > Core Methods > Classification Machine Learning > Learning Types > Transfer Learning Natural Language Processing > Applications > Natural Language Inference

Keywords

transfer learning natural language inference multi-label classification bert model

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