A Tri-Partite Neural Document Language Model for Semantic Information Retrieval.
Gia-Hung NguyenLynda TamineLaure SoulierNathalie SoufPublished in: ESWC (2018)
Keyphrases
- language model
- information retrieval
- document retrieval
- document length
- language modeling
- vector space model
- document ranking
- query terms
- language modeling framework
- n gram
- language modeling approaches
- query expansion
- ad hoc information retrieval
- document representation
- passage retrieval
- retrieval model
- test collection
- document language models
- retrieval systems
- document collections
- word clouds
- information retrieval systems
- tf idf
- semantic information
- context sensitive
- term proximity
- mixture model
- query specific
- language modelling
- information extraction
- probabilistic model
- relevant documents
- text retrieval
- term weighting
- search engine
- question answering
- pseudo feedback
- natural language
- document level
- relevance model
- pseudo relevance feedback
- probabilistic retrieval models
- ir models
- smoothing methods
- retrieval effectiveness
- language models for information retrieval
- term frequency
- dirichlet prior
- okapi bm
- retrieved documents
- semantic similarity
- inter document similarities
- ad hoc retrieval
- xml retrieval
- cross language information retrieval
- jelinek mercer