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What is: CNN Bidirectional LSTM?

SourceNamed Entity Recognition with Bidirectional LSTM-CNNs
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

A CNN BiLSTM is a hybrid bidirectional LSTM and CNN architecture. In the original formulation applied to named entity recognition, it learns both character-level and word-level features. The CNN component is used to induce the character-level features. For each word the model employs a convolution and a max pooling layer to extract a new feature vector from the per-character feature vectors such as character embeddings and (optionally) character type.