Name
Title | ||
|---|---|---|
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor |
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 26, 11 and 16, 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. |
Year | Venue | DocType |
|---|---|---|
2020 | SemEval@COLING | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Swamy Steve Durairaj | 1 | 0 | 0.34 |
| Laddha Shubham | 2 | 0 | 0.34 |
| Abdussalam Basil | 3 | 0 | 0.34 |
| Datta Debayan | 4 | 0 | 0.34 |
| Anupam Jamatia | 5 | 12 | 3.28 |