Juli Bakagianni


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Improved Abusive Comment Moderation with User Embeddings
John Pavlopoulos | Prodromos Malakasiotis | Juli Bakagianni | Ion Androutsopoulos
Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism

Experimenting with a dataset of approximately 1.6M user comments from a Greek news sports portal, we explore how a state of the art RNN-based moderation method can be improved by adding user embeddings, user type embeddings, user biases, or user type biases. We observe improvements in all cases, with user embeddings leading to the biggest performance gains.


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A Data Sharing and Annotation Service Infrastructure
Stelios Piperidis | Dimitrios Galanis | Juli Bakagianni | Sokratis Sofianopoulos
Proceedings of ACL-IJCNLP 2015 System Demonstrations