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Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThere exist few text-specific methods for unsupervised anomaly detection, and for those that do exist, none utilize pre-trained models for distributed vector representations of words. In this paper we introduce …...

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