KISTI at CLEF eHealth 2016 Task 3: Ranking Medical Documents using Word Vectors.
Heung-Seon OhYuchul JungPublished in: CLEF (Working Notes) (2016)
Keyphrases
- information retrieval
- document ranking
- query expansion
- ranked list
- retrieved documents
- word spotting
- document level
- word frequencies
- vector space
- expert search
- learning to rank
- passage retrieval
- document retrieval
- relevant documents
- test collection
- document space
- information retrieval systems
- expert finding
- document collections
- ad hoc retrieval
- question answering
- ranking algorithm
- multiword
- text corpus
- term weighting
- keywords
- patient records
- word pairs
- term frequency
- text documents
- retrieval systems
- query specific
- cross language
- language model
- stop words
- web documents
- vector space model
- web search
- sentence level
- document clustering
- short list
- related documents
- spoken document retrieval
- multilingual information retrieval
- xml documents
- dublin city university
- relevance model
- cross lingual
- ranking functions
- query terms
- user queries
- n gram
- co occurrence
- information extraction
- statistical machine translation
- document analysis
- pseudo relevance feedback
- document representation
- retrieval effectiveness
- inter document similarities
- search engine