The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval.
Minghan LiDiana Nicoleta PopaJohan ChagnonYagmur Gizem CinarÉric GaussierPublished in: CoRR (2021)
Keyphrases
- information retrieval
- learning to rank
- maximal marginal relevance
- document ranking
- information retrieval systems
- document retrieval
- document length
- document collections
- vector space model
- document relevance
- retrieval systems
- relevant documents
- ranking functions
- effective retrieval
- structured documents
- relevance ranking
- term weights
- ranking algorithm
- language model
- retrieval strategies
- tf idf
- document images
- search engine
- ranking scheme
- web retrieval
- query expansion
- language modeling
- evaluation measures
- short list
- relevance feedback
- rank aggregation
- power consumption
- web search
- ranked list
- document representation
- text retrieval
- document search
- retrieval model
- information extraction
- test collection
- desktop search
- pseudo feedback
- model for information retrieval
- probability ranking principle
- document clustering
- text mining
- retrieval effectiveness
- question answering
- focused retrieval
- retrieve documents
- related documents
- ad hoc retrieval
- xml retrieval
- latent semantic indexing