Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition.
Zenan ZhaiDat Quoc NguyenKarin VerspoorPublished in: CoRR (2018)
Keyphrases
- named entity recognition
- conditional random fields
- information extraction
- maximum entropy
- named entities
- probabilistic model
- natural language processing
- random fields
- sequence labeling
- text summarization
- semi supervised
- text mining
- data sets
- higher order
- dimensionality reduction
- relation extraction
- machine learning
- co occurrence
- markov random field
- hidden markov models
- pairwise
- image processing
- knowledge base
- databases