LoGE: an unsupervised local-global document extension generation in information retrieval for long documents.
Oussama AyoubChristophe RodriguesNicolas TraversPublished in: Int. J. Web Inf. Syst. (2023)
Keyphrases
- information retrieval
- document collections
- relevant documents
- information retrieval systems
- vector space model
- document retrieval
- retrieval systems
- structured documents
- related documents
- test collection
- maximal marginal relevance
- document ranking
- retrieved documents
- search engine
- query terms
- document processing
- document representation
- term weighting
- text collections
- text documents
- document relevance
- tf idf
- web documents
- current web search engines
- document classification
- retrieval effectiveness
- similar documents
- document clustering
- user queries
- document space
- document length
- text mining
- document corpus
- global context
- language model
- query expansion
- document categorization
- keywords
- document search
- term weights
- effective retrieval
- information extraction
- retrieval strategies
- vector space
- text retrieval
- document set
- retrieval model
- automatic categorization
- document analysis
- language modeling
- digital libraries
- relevance ranking
- document structure
- relevance feedback
- latent semantic analysis
- term weighting schemes
- ad hoc retrieval
- passage retrieval
- semantic similarity
- query biased
- distributed information retrieval
- web search
- question answering
- document indexing
- pseudo relevance feedback
- topic modeling
- electronic documents
- natural language processing
- xml retrieval
- text clustering