Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition.
Zenan ZhaiDat Quoc NguyenKarin VerspoorPublished in: Louhi@EMNLP (2018)
Keyphrases
- named entity recognition
- conditional random fields
- information extraction
- named entities
- natural language processing
- maximum entropy
- random fields
- relation extraction
- text summarization
- probabilistic model
- annotated corpus
- information retrieval
- classifier ensemble
- higher order
- semi supervised
- hidden markov models
- artificial intelligence
- co occurrence
- model selection
- prior knowledge
- pairwise
- expert systems
- bayesian networks
- training data
- image processing