Improved Abusive Comment Moderation with User Embeddings

August 11, 2017 ยท Declared Dead ยท ๐Ÿ› NLPmJ@EMNLP

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Authors John Pavlopoulos, Prodromos Malakasiotis, Juli Bakagianni, Ion Androutsopoulos arXiv ID 1708.03699 Category cs.CL: Computation & Language Citations 30 Venue NLPmJ@EMNLP Last Checked 4 months ago
Abstract
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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