DADR: A Denoising Approach for Dense Retrieval Model Training.
Mengxue DuShasha LiJie YuJun MaHuijun LiuMiaomiao LiBin JiPublished in: APWeb/WAIM (3) (2023)
Keyphrases
- retrieval model
- denoising
- language model
- language modeling
- document retrieval
- test collection
- retrieval effectiveness
- vector space
- text retrieval
- information retrieval systems
- information retrieval
- image denoising
- tf idf
- total variation
- retrieval systems
- retrieval framework
- vector space model
- user queries
- query expansion
- retrieval process
- image processing
- sentence retrieval
- statistical language models
- query terms
- feature extraction
- n gram
- relevance feedback
- training set
- feature space
- passage retrieval
- computer vision
- neural network
- database