Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

Event detection (ED), a sub-task of event extraction, involves identifying triggers and categorizing event mentions. Existing methods primarily rely upon supervised learning and require large-scale labeled event datasets which are unfortunately not readily available in many real-life applications... (read more)

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METHOD TYPE
Softmax
Output Functions
GRU
Recurrent Neural Networks
Dynamic Memory Network
Working Memory Models
Memory Network
Working Memory Models