Chul Sung

CNNBiF: CNN-based Bigram Features for Named Entity Recognition

Transformer models fine-tuned with a sequence labeling objective have become the dominant choice for named entity recognition tasks. However, a self-attention mechanism with unconstrained length can fail to fully capture local dependencies, particularly when training data is limited. In this paper,…