Noam Chomsky at SemEval-2023 Task 4: Hierarchical Similarity-aware Model for Human Value Detection

被引:0
|
作者
Honda, Sumire [1 ]
Wilharm, Sebastian [1 ]
机构
[1] Univ Potsdam, Potsdam, Germany
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a hierarchical similarity-aware approach for the SemEval-2023 task 4 human value detection behind arguments using SBERT. The approach takes similarity score as an additional source of information between the input arguments and the lower level of labels in a human value hierarchical dataset. Our similarity-aware model improved the similarity-agnostic baseline model, especially showing a significant increase in the value categories with lowest scores by the baseline model.
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页码:1359 / 1364
页数:6
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