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TNT: Text Normalization based Pre-training of Transformers for Content Moderation
In this work, we present a new language pre-training model TNT (Text Normalization based pre-training of Transformers) for content moderation.
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning
We study the problem of user segmentation: given a set of users and one or more predefined groups or segments, assign users to their corresponding segments.
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Accurate understanding of users in terms of predicative segments play an essential role in the day to day operation of modern internet enterprises.
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