Morphological Priors for Probabilistic Neural Word Embeddings.
Parminder BhatiaRobert GuthrieJacob EisensteinPublished in: CoRR (2016)
Keyphrases
- learned from training data
- neural network
- probabilistic model
- sparck jones
- prior probabilities
- co occurrence
- network architecture
- n gram
- image processing
- generative model
- mathematical morphology
- vector space
- manifold learning
- word sense disambiguation
- uncertain data
- distance measure
- generalized em algorithm
- bayesian networks
- belief networks
- euclidean space
- bio inspired
- neural model
- probability distribution
- artificial neural networks
- gaussian process latent variable models