LTG-Oslo Hierarchical Multi-task Network: The importance of negation for document-level sentiment in Spanish

Jeremy Barnes

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arXiv · 1906.07599

LTG-Oslo Hierarchical Multi-task Network: The importance of negation for document-level sentiment in Spanish

Jeremy Barnes

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Abstract

This paper details LTG-Oslo team's participation in the sentiment track of the NEGES 2019 evaluation campaign. We participated in the task with a hierarchical multi-task network, which used shared lower-layers in a deep BiLSTM to predict negation, while the higher layers were dedicated to predicting document-level sentiment. The multi-task component shows promise as a way to incorporate information on negation into deep neural sentiment classifiers, despite the fact that the absolute results on the test set were relatively low for a binary classification task.

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BibTeX RIS

Jeremy Barnes. 2019-06-18. LTG-Oslo Hierarchical Multi-task Network: The importance of negation for document-level sentiment in Spanish. https://arxiv.org/abs/1906.07599

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