Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models.
Zhenyi LuJie TianWei WeiXiaoye QuYu ChengWenfeng XieDangyang ChenPublished in: ACL (Findings) (2024)
Keyphrases
- language model
- text classification
- language modeling
- n gram
- statistical language modeling
- retrieval model
- probabilistic model
- document retrieval
- query expansion
- speech recognition
- information retrieval
- language modelling
- text categorization
- statistical language models
- naive bayes
- feature selection
- context sensitive
- text mining
- test collection
- cross lingual
- machine learning
- vector space model
- sentiment analysis
- bag of words
- text classifiers
- document ranking
- smoothing methods
- ad hoc information retrieval
- data mining
- query terms
- term frequency
- pseudo relevance feedback
- naive bayes classifier
- relevance model
- text documents
- multi label
- language model for information retrieval
- retrieval effectiveness
- language models for information retrieval
- translation model