A hybrid deep-learning approach for complex biochemical named entity recognition.
Jian LiuLei GaoSujie GuoRui DingXin HuangLong YeQinghua MengAsef NazariDhananjay R. ThiruvadyPublished in: CoRR (2020)
Keyphrases
- named entity recognition
- deep learning
- information extraction
- named entities
- natural language processing
- unsupervised learning
- maximum entropy
- text summarization
- conditional random fields
- semi supervised
- annotated corpus
- relation extraction
- mental models
- weakly supervised
- object recognition
- higher order
- knowledge discovery
- hidden markov models
- real world