Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model.
Kazuaki OgawaTatsuaki MurahashiHiroaki TaguchiKoudai NakajimaMasanori TakeharaSatoshi TamuraSatoru HayamizuPublished in: NTCIR (2016)
Keyphrases
- language model
- query terms
- spoken document retrieval
- likelihood model
- document ranking
- out of vocabulary
- probabilistic model
- test collection
- query specific
- information retrieval
- query expansion
- document retrieval
- language modeling
- relevant documents
- retrieval systems
- relevance model
- retrieval effectiveness
- document representation
- retrieval model
- cross language
- document level
- n gram
- retrieved documents
- vector space model
- text retrieval
- pseudo relevance feedback
- inter document similarities
- speech recognition
- search queries
- user queries
- average precision
- document collections
- ranked list
- cross language information retrieval
- smoothing methods
- information retrieval systems
- term frequency
- broadcast news
- search engine
- query processing
- text mining
- natural language
- text classification
- keywords
- bayesian networks
- vector space