NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to Tackle Internet Humor

Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, Anupam Jamatia


Abstract
The paper describes the systems submitted to SemEval-2020 Task 8: Memotion by the ‘NIT-Agartala-NLP-Team’. A dataset of 8879 memes was made available by the task organizers to train and test our models. Our systems include a Logistic Regression baseline, a BiLSTM +Attention-based learner and a transfer learning approach with BERT. For the three sub-tasks A, B and C, we attained ranks 24/33, 11/29 and 15/26, respectively. We highlight our difficulties in harnessing image information as well as some techniques and handcrafted features we employ to overcome these issues. We also discuss various modelling issues and theorize possible solutions and reasons as to why these problems persist.
Anthology ID:
2020.semeval-1.156
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Editors:
Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
Venue:
SemEval
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1179–1189
Language:
URL:
https://aclanthology.org/2020.semeval-1.156
DOI:
10.18653/v1/2020.semeval-1.156
Bibkey:
Cite (ACL):
Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, and Anupam Jamatia. 2020. NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to Tackle Internet Humor. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1179–1189, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to Tackle Internet Humor (Swamy et al., SemEval 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.semeval-1.156.pdf