"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models.
Zihan WangChengyu DongJingbo ShangPublished in: CoRR (2021)
Keyphrases
- language model
- principal components
- language modeling
- principal component analysis
- n gram
- word clouds
- probabilistic model
- document retrieval
- language modelling
- retrieval model
- speech recognition
- query expansion
- information retrieval
- test collection
- kernel space
- statistical language models
- neural network
- context sensitive
- dimensionality reduction
- vector space model
- mixture model
- ad hoc information retrieval
- smoothing methods
- relevance model
- language models for information retrieval
- principal component regression
- pseudo relevance feedback
- covariance matrix
- query terms
- feature set
- bayesian networks
- principal curves
- document ranking
- feature vectors
- image processing
- search engine
- data mining