Attnconvnet at semeval-2018 task 1: Attention-based convolutional neural networks for multi-label emotion classification

Y Kim, H Lee, K Jung - arXiv preprint arXiv:1804.00831, 2018 - arxiv.org
In this paper, we propose an attention-based classifier that predicts multiple emotions of a
given sentence. Our model imitates human's two-step procedure of sentence understanding …

AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Y Kim, H Lee, K Jung - … of the 12th International Workshop on …, 2018 - aclanthology.org
In this paper, we propose an attention-based classifier that predicts multiple emotions of a
given sentence. Our model imitates human's two-step procedure of sentence understanding …

[PDF][PDF] AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Y Kim, H Lee, K Jung - researchgate.net
In this paper, we propose an attention-based classifier that predicts multiple emotions of a
given sentence. Our model imitates human's two-step procedure of sentence understanding …

AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Y Kim, H Lee, K Jung - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
In this paper, we propose an attention-based classifier that predicts multiple emotions of a
given sentence. Our model imitates human's two-step procedure of sentence understanding …

[PDF][PDF] AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Y Kim, H Lee, K Jung - milab.snu.ac.kr
In this paper, we propose an attention-based classifier that predicts multiple emotions of a
given sentence. Our model imitates human's two-step procedure of sentence understanding …

[PDF][PDF] AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Y Kim, H Lee, K Jung - researchgate.net
In this paper, we propose an attention-based classifier that predicts multiple emotions of a
given sentence. Our model imitates human's two-step procedure of sentence understanding …