Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.
Hongyin TangXingwu SunBeihong JinJingang WangFuzheng ZhangWei WuPublished in: ACL/IJCNLP (1) (2021)
Keyphrases
- document representation
- vector space
- index terms
- query expansion
- retrieval model
- relevance feedback
- retrieval systems
- structured documents
- query formulation
- query terms
- retrieval process
- language model
- vector space model
- information retrieval systems
- information retrieval
- document collections
- vector representation
- bag of words
- image retrieval
- query processing
- user queries
- similarity search
- anchor text
- web documents
- document clustering
- low dimensional
- relevance model
- document retrieval
- text documents
- relevant documents
- semantic information
- test collection
- knowledge discovery
- data sources