Best of Touché 2023 Task 4: Testing Data Augmentation and Label Propagation for Multilingual Multi-target Stance Detection

Author:

Avila Jorge,Rodrigo ÁlvaroORCID,Centeno RobertoORCID

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Agerri, R., Centeno, R., Espinosa, M.S., de Landa, J.F., Rodrigo, Á.: VaxxStance@iberLEF 2021: overview of the task on going beyond text in cross-lingual stance detection. Proces. del Leng. Nat. 67, 173–181 (2021)

2. Anand, P., Walker, M., Abbott, R., Fox Tree, J.E., Bowmani, R., Minor, M.: Cats rule and dogs drool!: Classifying stance in online debate. In: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2011) (2011)

3. Barriere, V., Balahur, A.: Multilingual multi-target stance recognition in online public consultations. Mathematics 11(9), 2161 (2023)

4. Barriere, V., Jacquet, G.G., Hemamou, L.: CoFE: a new dataset of intra-multilingual multi-target stance classification from an online European participatory democracy platform. In: Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, pp. 418–422 (2022)

5. Lecture Notes in Computer Science;A Bondarenko,2023

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