Analysis of the Paragraph Vector Model for Information Retrieval

    ICTIR, pp. 133-142, 2016.

    Cited by: 67|Bibtex|Views34|Links
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    Abstract:

    Previous studies have shown that semantically meaningful representations of words and text can be acquired through neural embedding models. In particular, paragraph vector (PV) models have shown impressive performance in some natural language processing tasks by estimating a document (topic) level language model. Integrating the PV models...More

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