Semantically enhanced term frequency based on word embeddings for Arabic information retrieval.
Abdelkader El MahdaouySaid Ouatik El AlaouiÉric GaussierPublished in: CIST (2016)
Keyphrases
- term frequency
- semantically enhanced
- document representation
- term weighting
- retrieval model
- vector space
- information retrieval
- vector space model
- tf idf
- inverse document frequency
- document collections
- document frequency
- language model
- bag of words
- text documents
- text categorization
- text classification
- average precision
- language modeling
- document clustering
- query terms
- information retrieval systems
- retrieval effectiveness
- test collection
- web documents
- document retrieval
- low dimensional
- text mining
- relevance feedback
- relevant documents
- data fusion
- semantic information
- distance measure
- dimensionality reduction
- retrieval systems
- user queries
- semantic similarity
- learning to rank
- information extraction
- feature vectors
- high dimensional