Self Organizing Maps in NLP: Exploration of Coreference Feature Space.
Andre BurkovskiWiltrud KesslerGunther HeidemannHamidreza KobdaniHinrich SchützePublished in: WSOM (2011)
Keyphrases
- self organizing maps
- feature space
- coreference resolution
- input data
- natural language processing
- information extraction
- neural network
- reference resolution
- named entities
- competitive learning
- unsupervised learning
- neural gas
- high dimensional
- named entity recognition
- feature vectors
- question answering
- feature extraction
- mean shift
- topology preserving
- relation extraction
- training set
- text mining
- kernel function
- low dimensional
- dimension reduction
- data sets
- dimensionality reduction
- principal component analysis
- natural language
- k means
- image retrieval
- network anomaly detection
- image coding
- image data
- data points
- visualization methods
- image processing
- machine learning
- som neural network