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Seq2Emo for Multi-label Emotion Classification Based on Latent Variable
  Chains Transformation

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation

6 November 2019
Chenyang Huang
Amine Trabelsi
Xuebin Qin
Nawshad Farruque
Osmar R. Zaïane
ArXivPDFHTML

Papers citing "Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation"

3 / 3 papers shown
Title
Understanding the Role of Affect Dimensions in Detecting Emotions from
  Tweets: A Multi-task Approach
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
Rajdeep Mukherjee
Atharva Naik
S. Poddar
Soham Dasgupta
Niloy Ganguly
21
12
0
09 May 2021
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,925
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
1