MLIA-LIP6@TREC-CAST2021: Feature augmentation for query recontextualization and passage ranking.
Nawel AstaoutiThomas GeraldMaya TouzariLaure SoulierJian-Yun NiePublished in: TREC (2021)
Keyphrases
- question answering
- relevance feedback
- relevance judgments
- query expansion
- document ranking
- ranked list
- query independent
- biomedical information retrieval
- document retrieval
- test collection
- information retrieval
- query specific
- inter document similarities
- learning to rank
- relevant documents
- ad hoc retrieval
- ranking svm
- document rankings
- pseudo relevance feedback
- keyword search
- query dependent
- ranking list
- ranking functions
- retrieval effectiveness
- ambiguous queries
- query terms
- query processing
- scoring functions
- query performance prediction
- expert search
- language model
- automatic query expansion
- average precision
- result set
- retrieval systems
- document level
- search engine
- query difficulty
- probabilistic retrieval model
- relevance scores
- passage retrieval
- web search
- retrieved documents
- user feedback
- user queries
- retrieval model
- result list
- ranking algorithm
- short queries
- keywords
- human judgments
- natural language
- number of relevant documents
- feature vectors
- ranked retrieval
- document relevance
- evaluation measures
- meta search
- relevance assessments
- ranking scheme
- relevance judgements
- vector space
- query suggestion
- web search engines
- short list
- ranking models
- federated search
- rank aggregation