Information retrieval for label noise document ranking by bag sampling and group-wise loss.
Chunyu LiJiajia DingXing huFan WangPublished in: CoRR (2022)
Keyphrases
- document ranking
- group wise
- information retrieval
- label noise
- document retrieval
- query expansion
- language model
- relevant documents
- text retrieval
- active learning
- language modeling
- document collections
- retrieval model
- passage retrieval
- relevance feedback
- information retrieval systems
- test collection
- noise model
- question answering
- sample size
- text mining
- information extraction
- search engine
- image processing
- decision trees
- training data
- retrieved documents
- pseudo relevance feedback
- vector space model
- retrieval effectiveness
- supervised learning
- edge detection
- feature extraction
- markov random field
- bag of words
- image restoration