Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation.
Antonio Jimeno-YepesPublished in: J. Biomed. Informatics (2017)
Keyphrases
- recurrent neural networks
- word sense disambiguation
- long short term memory
- biomedical text
- supervised methods
- wordnet
- information extraction
- natural language processing
- neural network
- linguistic knowledge
- word sense
- feed forward
- syntactic analysis
- machine translation
- artificial neural networks
- recurrent networks
- semantic relatedness
- echo state networks
- lexical information
- text mining
- feature selection
- learning algorithm
- machine learning methods
- part of speech
- feature set
- semi supervised
- sense disambiguation
- co occurrence
- highly ambiguous
- unsupervised word sense disambiguation
- dimensionality reduction
- gaussian process
- machine learning
- knowledge representation
- semantic similarity
- ambiguous words