Unifying Bayesian Inference and Vector Space Models for Improved Decipherment.
Qing DouAshish VaswaniKevin KnightChris DyerPublished in: ACL (1) (2015)
Keyphrases
- bayesian inference
- vector space model
- probabilistic model
- prior information
- language model
- agglomerative hierarchical clustering
- information retrieval
- vector space
- expectation propagation
- web documents
- latent semantic indexing
- particle filter
- training data
- generative model
- expectation maximization
- semantic similarity
- knowledge discovery
- tf idf