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

来源：

17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023 | 2023年

关键词：

D O I：

暂无

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.

引用

页码：1359 / 1364

页数：6

共 35 条

[1] SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection
Hemati, Hamed Hematian
Alavian, Sayed Hesam
Sameti, Hossein
Beigy, Hamid
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 340 - 346
[2] Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection
Ghahroodi, Omid
Sadraei, Mohammad Ali
Dasgheib, Doratossadat
Baghshah, Mahdieh Soleymani
Rohban, Mohammad H.
Rabiee, Hamid R.
Asgari, Ehsaneddin
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2164 - 2167
[3] SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments
Kiesel, Johannes
Alshomary, Milad
Mirzakhmedova, Nailia
Heinrich, Maximilian
Handke, Nicolas
Wachsmuth, Henning
Stein, Benno
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2287 - 2303
[4] Prodicus at SemEval-2023 Task 4: Enhancing Human Value Detection with Data Augmentation and Fine-Tuned Language Models
Monazzah, Erfan Moosavi
Eetemadi, Sauleh
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2033 - 2038
[5] HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy
Yao, Ziyi
Chai, Heyan
Cui, Jinhao
Tang, Siyu
Liao, Qing
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 934 - 940
[6] Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments
Hasanaliyev, Kenan
Wu, Justin
Li, Kevin
Huang, William
Chawla, Saanvi
Yang, Daniel
Nath, Michael
Mion, Shane
Sanda, Rohan
Bhat, Kiran
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2039 - 2042
[7] Friedrich Nietzsche at SemEval-2023 Task 4: Detection of Human Values from Text Using Machine Learning
Mohammed, Abdul Jawad
Sundharram, Sruthi
Sharma, Sanidhya
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2179 - 2183
[8] Arthur Caplan at SemEval-2023 Task 4: Enhancing Human Value Detection through Fine-tuning Pre-trained Models
Song, Xianxian
Zhao, Jinhui
Cao, Ruiqi
Sui, Linchi
Guan, Tingyue
Li, Binyang
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1953 - 1959
[9] Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection using Four Different Neural Network Architectures
Papadopoulos, Georgios
Kokol, Marko
Dagioglou, Maria
Petasis, Georgios
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 542 - 548
[10] HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model
Zhang, Yao
Wang, Liqing
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 963 - 968

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