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El Mahdaouy et al., 2016 - Google Patents

Semantically enhanced term frequency based on word embeddings for Arabic information retrieval

El Mahdaouy et al., 2016

Document ID
4536833817915813508
Author
El Mahdaouy A
El Alaoui S
Gaussier E
Publication year
Publication venue
2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)

External Links

Snippet

Traditional Information Retrieval (IR) models are based on bag-of-words paradigm, where relevance scores are computed based on exact matching of keywords. Although these models have already achieved good performance, it has been shown that most of …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
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