A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models.
Oleg LesotaNavid RekabsazDaniel CohenKlaus Antonius GrasserbauerCarsten EickhoffMarkus SchedlPublished in: ICTIR (2021)
Keyphrases
- retrieval model
- user queries
- query expansion
- improvements in retrieval effectiveness
- query terms
- relevance feedback
- retrieval systems
- vector space
- retrieval framework
- language modeling framework
- language modeling
- retrieval effectiveness
- sentence retrieval
- language model
- retrieval process
- information retrieval systems
- document retrieval
- term dependencies
- information retrieval
- vector space model
- test collection
- ir models
- effective retrieval
- structured queries
- statistical language models
- term dependence
- query processing
- query topic
- tf idf
- average precision
- web search engines
- relevance judgments
- maximum likelihood
- probabilistic retrieval models
- relevant documents
- generative model
- trec collections
- keywords
- search engine
- entity search
- inference network model
- retrieval functions
- patent retrieval
- user feedback
- web search
- probabilistic model
- database systems