Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors.
Shoaib JameelSteven SchockaertPublished in: ACL (1) (2019)
Keyphrases
- global context
- vector space
- word sense
- related words
- n gram
- document space
- co occurrence
- context sensitive
- word sense disambiguation
- text corpus
- spoken document retrieval
- web documents
- document image retrieval
- compound words
- word recognition
- term weighting
- word co occurrence
- word level
- keywords
- latent topics
- information retrieval
- noun phrases
- term frequency
- vector space model
- document clustering
- printed documents
- retrieval systems
- document collections
- mixture model
- information retrieval systems
- natural language processing