2020 | OriginalPaper | Buchkapitel
A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling
verfasst von : Maitree Leekha, Mononito Goswami, Minni Jain
Erschienen in: Advances in Information Retrieval
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Abstract
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only. In this work, we introduce a novel over-sampling technique to address the problem of class imbalance, and propose a multi-task deep learning approach for mining suggestions from multiple domains. Experimental results on a publicly available dataset show that our over-sampling technique, coupled with the multi-task framework outperforms state-of-the-art open domain suggestion mining models in terms of the F-1 measure and AUC.