Sökning: "Sahand Zarrinkoub"

Hittade 1 uppsats innehållade orden Sahand Zarrinkoub.

  1. 1. Transfer Learning in Deep Structured Semantic Models for Information Retrieval

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sahand Zarrinkoub; [2020]
    Nyckelord :Deep learning; Deep structured semantic model; information retrieval; machine learning; natural langugange processing; neural information retrieval; Djupinlärning; informationssökning; maskininlärning; språkteknologi; neurala sökmotorer;

    Sammanfattning : Recent approaches to IR include neural networks that generate query and document vector representations. The representations are used as the basis for document retrieval and are able to encode semantic features if trained on large datasets, an ability that sets them apart from classical IR approaches such as TF-IDF. LÄS MER