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

conf_acl（2023）

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摘要

In 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.

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