Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature.
Sudhakaran GajendranD. ManjulaVijayan SugumaranPublished in: J. Biomed. Informatics (2020)
Keyphrases
- recurrent neural networks
- named entity recognition
- word level
- information extraction
- machine translation
- long short term memory
- named entities
- natural language processing
- language independent
- viterbi algorithm
- text summarization
- feed forward
- neural network
- document analysis
- maximum entropy
- document images
- conditional random fields
- relation extraction
- text mining
- semi supervised
- n gram
- artificial neural networks
- character recognition
- word segmentation
- word recognition
- graphical models
- sentence level
- annotated corpus
- information retrieval
- language model
- feature selection