Preliminary Results for Biomedical Word Sense Disambiguation Based on Semantic Clustering.
Tamara Martín-WantonRafael Berlanga LlavoriAntonio Jimeno-YepesPublished in: DEXA Workshops (2011)
Keyphrases
- word sense disambiguation
- biomedical text
- wordnet
- semantic similarity
- syntactic analysis
- word sense
- information extraction
- sense disambiguation
- natural language processing
- text representation
- semantic information
- semantic roles
- machine translation
- k means
- clustering algorithm
- semantic features
- clustering method
- semantic relatedness
- lexical database
- semantic relationships
- highly ambiguous
- semantic network
- data clustering
- co occurrence
- semantic role labeling
- part of speech
- unsupervised word sense disambiguation
- spectral clustering
- semantic knowledge
- text mining
- semantic analysis
- natural language
- wide coverage
- lexical information
- feature set
- machine learning methods
- text documents
- similarity measure
- information retrieval