Low-resource Interactive Active Labeling for Fine-tuning Language Models.
Seiji MaekawaDan ZhangHannah KimSajjadur RahmanEstevam HruschkaPublished in: EMNLP (Findings) (2022)
Keyphrases
- language model
- fine tuning
- language modeling
- document retrieval
- n gram
- viable alternative
- language modelling
- speech recognition
- statistical language models
- probabilistic model
- information retrieval
- retrieval model
- test collection
- translation model
- context sensitive
- ad hoc information retrieval
- query expansion
- document ranking
- vector space model
- relevance model
- active learning
- fine tuned
- language models for information retrieval
- query terms
- word error rate
- smoothing methods
- pseudo relevance feedback
- feature selection
- machine learning
- retrieval effectiveness
- language model for information retrieval