Matrix and Tensor Factorization Methods for Natural Language Processing.
Guillaume BouchardJason NaradowskySebastian RiedelTim RocktäschelAndreas VlachosPublished in: ACL (Tutorial Abstracts) (2015)
Keyphrases
- factorization methods
- tensor factorization
- natural language processing
- matrix factorization
- low rank
- information extraction
- machine learning
- collaborative filtering
- negative matrix factorization
- high order
- wordnet
- recommender systems
- named entity recognition
- natural language
- singular value decomposition
- factorization method
- missing data
- linear algebra
- nonnegative matrix factorization
- higher order
- gaussian processes
- data sets
- least squares
- tag recommendation
- highly efficient
- small number
- point correspondences
- linear combination
- text mining