An Unsupervised Method for Senses Clustering.
Sofia Paniagua RiveraHéctor Jiménez-SalazarDavid Pinto AvendañoPublished in: IICAI (2005)
Keyphrases
- clustering method
- unsupervised learning
- computational cost
- significant improvement
- high precision
- experimental evaluation
- similarity measure
- objective function
- k means
- unsupervised manner
- synthetic data
- mutual information
- clustering algorithm
- information bottleneck
- high accuracy
- probabilistic model
- machine learning
- semi supervised
- detection method
- dynamic programming
- similarity function
- cost function