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

[21] Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss
Peng, Letian
Kim, Bosung
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1670 - 1675
[22] Kb at SemEval-2023 Task 3: On Multitask Hierarchical BERT Base Neural Network for Multi-label Persuasion Techniques Detection
Baraniak, Katarzyna
Sydow, Marcin
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1395 - 1400
[23] PCJ at SemEval-2023 Task 10: A Ensemble Model Based on Pre-trained Model for Sexism Detection and Classification in English
Pu, Chujun
Zhou, Xiaobing
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 433 - 438
[24] Augustine Of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE
Ferrara, Alfio
Picascia, Sergio
Rocchetti, Elisabetta
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1044 - 1053
[25] Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments
Zaikis, Dimitrios
Stefanidis, Stefanos D.
Anagnostopoulos, Konstantinos
Vlahavas, Ioannis
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1037 - 1043
[26] Tubingen at SemEval-2023 Task 4: What can Stance Tell? A Computational Study on Detecting Human Values behind Arguments
Can, Fidan
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1763 - 1768
[27] Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models
Schroter, Daniel
Dementieva, Daryna
Groh, Georg
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 532 - 541
[28] Bf3R at SemEval-2023 Task 7: a text similarity model for textual entailment and evidence retrieval in clinical trials and animal studies
Neves, Mariana
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 125 - 129
[29] I2C Huelva at SemEval-2023 Task 4: A Resampling and Transformers Approach to Identify Human Values behind Arguments
El Balima Cordero, Nordin
Mata Vazquez, Jacinto
Pachon Alvarez, Victoria
Pichardo Estevez, Abel
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1382 - 1387
[30] whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts
Chaterjee, Nishan
Pranjic, Marko
Koloski, Boshko
Pivovarova, Lidia
Pollak, Senja
PROCEEDINGS OF THE 18TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2024, 2024, : 1537 - 1543

← 1 2 3 4 →