D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information.
Thanh Hai DangHoang-Quynh LeTrang M. NguyenSinh T. VuPublished in: Bioinform. (2018)
Keyphrases
- named entities
- named entity recognition
- linguistic features
- linguistic information
- fine tuned
- information extraction
- conditional random fields
- text mining
- relation extraction
- fine tuning
- natural language processing
- co occurrence
- question answering
- annotated corpus
- domain specific
- text summarization
- maximum entropy
- unsupervised learning
- text documents
- semi supervised
- structural information
- machine learning
- proper names
- noun phrases
- semantic information
- dimensionality reduction
- natural language
- markov random field
- supervised learning
- low level