Word-embedding-based query expansion: Incorporating Deep Averaging Networks in Arabic document retrieval.
Yasir Hadi FarhanShahrul Azman Mohd. NoahMasnizah MohdJaffar AtwanPublished in: J. Inf. Sci. (2023)
Keyphrases
- document retrieval
- query expansion
- language model
- relevant documents
- relevance feedback
- pseudo relevance feedback
- n gram
- information retrieval
- retrieval model
- blind feedback
- document ranking
- text retrieval
- language modeling
- passage retrieval
- retrieval effectiveness
- query terms
- retrieved documents
- expansion terms
- information retrieval systems
- document collections
- ranking functions
- term weighting
- learning to rank
- cross language
- language modeling framework
- term frequency
- document level
- ad hoc retrieval
- multiword
- vector space model
- co occurrence
- query translation
- spoken document retrieval
- test collection
- xml retrieval
- original query
- vector space
- expert search
- probabilistic model
- question answering
- information extraction
- feature extraction
- pseudo feedback
- learning algorithm