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    Impact of Document Representation on Neural Ad hoc Retrieval 

    Type: Conference Paper
    Author : فائزه انسان; Ebrahim Bagheri; F Ensan; F Al-Obeidat
    Year: 2018
    Abstract:

    Neural embeddings have been effectively integrated into information retrieval tasks including ad hoc retrieval. One of the benefits of neural embeddings is they allow for the calculation of the similarity between queries and documents through vector...

    Ad hoc retrieval via entity linking and semantic similarity 

    Type: Journal Paper
    Author : فائزه انسان; F Ensan; Weichang Du
    Year: 2019
    Abstract:

    Semantic search has emerged as a possible way for addressing the challenges of traditional keyword-based retrieval systems such as the vocabulary gap between the query and document spaces. In this paper, we propose a novel ...

    Relevance-based entity selection for ad hoc retrieval 

    Type: Journal Paper
    Author : فائزه انسان; Feras Al-Obeidat; F Ensan; Feras Al-Obeidat
    Year: 2019
    Abstract:

    an unsupervised entity selection method based on the graphical model

    for query entity expansion and then for ad hoc retrieval. -3- We thoroughly evaluate our method

    and compare it with the state-of-the-art keyword and entity based retrieval methods...

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