NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor
| Autor: | Shubham Laddha, Steve Durairaj Swamy, Basil Abdussalam, Debayan Datta, Anupam Jamatia |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Computation and Language business.industry Computer science Logistic regression computer.software_genre SemEval Test (assessment) Task (project management) Nat The Internet Artificial intelligence Baseline (configuration management) business Transfer of learning computer Computation and Language (cs.CL) Natural language processing |
| Zdroj: | SemEval@COLING |
| DOI: | 10.48550/arxiv.2005.06943 |
| Popis: | 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. Comment: Submitted to International Workshop on Semantic Evaluation (SemEval)-2020 Task 8: Memotion Analysis, http://alt.qcri.org/semeval2020/index.php?id=tasks |
| Databáze: | OpenAIRE |
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