A Query Expansion Approach Using Entity Distribution Based on Markov Random Fields.
Rui LiLinxue HaoXiaozhao ZhaoPeng ZhangDawei SongYuexian HouPublished in: AIRS (2015)
Keyphrases
- query expansion
- markov random field
- information retrieval systems
- retrieval effectiveness
- mrf model
- belief propagation
- graph cuts
- maximum a posteriori
- higher order
- image segmentation
- random fields
- language model
- text retrieval
- information retrieval
- parameter estimation
- low level vision
- relevant documents
- energy function
- relevance feedback
- pairwise
- image restoration
- retrieval model
- improving search
- pseudo relevance feedback
- potential functions
- ad hoc retrieval
- automatic query expansion
- original query
- interactive query expansion
- retrieved documents
- conditional random fields
- named entities
- discriminative random fields
- biomedical information retrieval
- piecewise constant functions
- query terms
- coreference resolution
- maximum entropy
- text classification
- similarity measure
- learning algorithm