Towards multidomain and multilingual abusive language detection: a survey
Abusive language is an important issue in online communication across different platforms
and languages. Having a robust model to detect abusive instances automatically is a …
and languages. Having a robust model to detect abusive instances automatically is a …
A brief review of deep multi-task learning and auxiliary task learning
P Vafaeikia, K Namdar, F Khalvati - ar** and video-watching websites, industrial-scale recommender systems face …
A hierarchical multi-task approach for learning embeddings from semantic tasks
Much effort has been devoted to evaluate whether multi-task learning can be leveraged to
learn rich representations that can be used in various Natural Language Processing (NLP) …
learn rich representations that can be used in various Natural Language Processing (NLP) …
Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction
In this paper, we propose a novel Convolutional Neural Network (CNN) structure for general-
purpose multi-task learning (MTL), which enables automatic feature fusing at every layer …
purpose multi-task learning (MTL), which enables automatic feature fusing at every layer …