Name
Title | ||
|---|---|---|
AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification. |
Abstract | ||
|---|---|---|
In this paper, we propose an attention-based classifier that predicts multiple emotions of a given sentence. Our model imitates humanu0027s two-step procedure of sentence understanding and it can effectively represent and classify sentences. With emoji-to-meaning preprocessing and extra lexicon utilization, we further improve the model performance. We train and evaluate our model with data provided by SemEval-2018 task 1-5, each sentence of which has several labels among 11 given sentiments. Our model achieves 5-th/1-th rank in English/Spanish respectively. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.18653/v1/s18-1019 | SemEval@NAACL-HLT |
DocType | Volume | Citations |
Conference | abs/1804.00831 | 1 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yanghoon kim | 1 | 12 | 4.32 |
| Hwanhee Lee | 2 | 4 | 1.05 |
| Kyomin Jung | 3 | 394 | 37.38 |