A Rank-based Distance Measure to Detect Polysemy and to Determine Salient Vector-Space Features for German Prepositions.
Maximilian KöperSabine Schulte im WaldePublished in: LREC (2014)
Keyphrases
- vector space
- distance measure
- latent semantic indexing
- fisher criterion
- similarity measure
- euclidean space
- feature vectors
- cosine similarity
- vector space model
- retrieval model
- dynamic time warping
- distance function
- distance metric
- histogram intersection
- covariance matrices
- euclidean distance
- feature extraction
- hausdorff distance
- similarity search
- document representation
- computer vision
- metric space
- low dimensional
- kullback leibler
- feature set
- image features
- riemannian manifolds
- machine learning
- neural network