IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
Abdullah AlsuhaibaniHamad ZoganImran RazzakShoaib JameelGuandong XuPublished in: CoRR (2024)
Keyphrases
- language model
- text classification
- language modeling
- n gram
- multi label
- probabilistic model
- document retrieval
- training set
- retrieval model
- statistical language models
- language modelling
- text classifiers
- statistical language modeling
- query expansion
- clustering algorithm
- information retrieval
- speech recognition
- test collection
- context sensitive
- document ranking
- bag of words
- k means
- pseudo relevance feedback
- feature selection
- clustering method
- sentiment analysis
- relevance model
- spectral clustering
- vector space model
- smoothing methods
- language models for information retrieval
- training data
- text documents
- cross lingual
- term frequency
- text categorization
- naive bayes
- knn
- labeled data
- query specific
- query terms
- document clustering