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