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HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition

Behzad Naderalvojoud, Alaettin Ucan, Ebru Akcapinar Sezer
2018 Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
This paper describes the approaches used in HUMIR system for the WASSA-2018 shared task on the implicit emotion recognition.  ...  The BiLSTM outputs achieved from the left and right contexts are considered as context-sensitive features. These features are used in a feed-forward neural network to predict the target word emotion.  ...  Hence, we call this approach as Left-Right context-sensitive BiL-STM (LR-BiLSTM).  ... 
doi:10.18653/v1/w18-6225 dblp:conf/wassa/NaderalvojoudUS18 fatcat:xtyrje3fo5aebckspf6km6ydma