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

1 code implementation • ACL 2019 • Lukas Ruff, Yury Zemlyanskiy, V, Robert ermeulen, Thomas Schnake, Marius Kloft

There 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.

Contextual Anomaly Detection General Classification +3