@inproceedings{srivastava-khurana-2019-detecting,
    title = "Detecting Aggression and Toxicity using a Multi Dimension Capsule Network",
    author = "Srivastava, Saurabh  and
      Khurana, Prerna",
    editor = "Roberts, Sarah T.  and
      Tetreault, Joel  and
      Prabhakaran, Vinodkumar  and
      Waseem, Zeerak",
    booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-3517/",
    doi = "10.18653/v1/W19-3517",
    pages = "157--162",
    abstract = "In the era of social media, hate speech, trolling and verbal abuse have become a common issue. We present an approach to automatically classify such statements, using a new deep learning architecture. Our model comprises of a Multi Dimension Capsule Network that generates the representation of sentences which we use for classification. We further provide an analysis of our model{'}s interpretation of such statements. We compare the results of our model with state-of-art classification algorithms and demonstrate our model{'}s ability. It also has the capability to handle comments that are written in both Hindi and English, which are provided in the TRAC dataset. We also compare results on Kaggle{'}s Toxic comment classification dataset."
}