Fig. 5
From: C-Norm: a neural approach to few-shot entity normalization

The C-Norm architecture combining the SLFNN and shallow CNN components. The input is the matrix of word embeddings of the tokens of the mentions
From: C-Norm: a neural approach to few-shot entity normalization
The C-Norm architecture combining the SLFNN and shallow CNN components. The input is the matrix of word embeddings of the tokens of the mentions