OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining

SEMEVAL 2019 Jiaxiang LiuShuohuan WangYu Sun

This paper describes our system partici- pated in Task 9 of SemEval-2019: the task is focused on suggestion mining and it aims to classify given sentences into sug- gestion and non-suggestion classes in do- main specific and cross domain training setting respectively. We propose a multi- perspective architecture for learning rep- resentations by using different classical models including Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), Feed Forward Attention (FFA), etc... (read more)

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