Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition

Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition Zenan Zhai author Dat Quoc Nguyen author Karin Verspoor author 2018-10 text Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis Alberto Lavelli editor Anne-Lyse Minard editor Fabio Rinaldi editor Association for Computational Linguistics Brussels, Belgium conference publication zhai-etal-2018-comparing 10.18653/v1/W18-5605 https://aclanthology.org/W18-5605/ 2018-10 38 43