A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models.
Oleg LesotaNavid RekabsazDaniel CohenKlaus Antonius GrasserbauerCarsten EickhoffMarkus SchedlPublished in: CoRR (2021)
Keyphrases
- retrieval model
- user queries
- query expansion
- improvements in retrieval effectiveness
- vector space
- retrieval framework
- query terms
- relevance feedback
- retrieval systems
- language modeling framework
- language modeling
- language model
- sentence retrieval
- retrieval effectiveness
- retrieval process
- term dependencies
- term dependence
- test collection
- information retrieval systems
- document retrieval
- vector space model
- structured queries
- information retrieval
- ir models
- query topic
- statistical language models
- effective retrieval
- database
- maximum likelihood
- generative model
- search engine
- average precision
- keywords
- query processing
- relevant documents
- entity search
- document ranking
- video retrieval
- digital libraries
- probabilistic model
- relevance judgments
- tf idf
- query specific
- co occurrence
- distance measure
- retrieval method
- probabilistic retrieval models