Does QA-based intermediate training help fine-tuning language models for text classification?
Shiwei ZhangXiuzhen ZhangPublished in: CoRR (2021)
Keyphrases
- language model
- fine tuning
- text classification
- language modeling
- n gram
- fine tuned
- passage retrieval
- document retrieval
- probabilistic model
- text classifiers
- retrieval model
- speech recognition
- information retrieval
- query expansion
- statistical language modeling
- smoothing methods
- language modelling
- statistical language models
- pseudo relevance feedback
- relevance model
- test collection
- bag of words
- question answering
- text categorization
- feature selection
- text mining
- text documents
- document ranking
- language models for information retrieval
- cross lingual
- naive bayes
- machine learning
- sentence retrieval
- query terms
- word segmentation
- naive bayes classifier
- vector space model
- retrieval effectiveness
- labeled data
- sentiment classification
- context sensitive
- data mining
- information retrieval systems
- search engine
- language model for information retrieval