Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

April 12, 2018 ยท Declared Dead ยท ๐Ÿ› International Workshop on Semantic Evaluation

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Authors Alon Rozental, Daniel Fleischer arXiv ID 1804.04380 Category cs.CL: Computation & Language Cross-listed stat.ML Citations 31 Venue International Workshop on Semantic Evaluation Last Checked 4 months ago
Abstract
This paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018. We participated in all the English sub-tasks and the Spanish valence tasks. Our system consists of three parts: training task-specific word embeddings, training a model consisting of gated-recurrent-units (GRU) with a convolution neural network (CNN) attention mechanism and training stacking-based ensembles for each of the sub-tasks. Our algorithm reached 3rd and 1st places in the valence ordinal classification sub-tasks in English and Spanish, respectively.
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