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    • 37-Issue 3
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    Interactive Analysis of Word Vector Embeddings

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    Date
    2018
    Author
    Heimerl, Florian
    Gleicher, Michael
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    Abstract
    Word vector embeddings are an emerging tool for natural language processing. They have proven beneficial for a wide variety of language processing tasks. Their utility stems from the ability to encode word relationships within the vector space. Applications range from components in natural language processing systems to tools for linguistic analysis in the study of language and literature. In many of these applications, interpreting embeddings and understanding the encoded grammatical and semantic relations between words is useful, but challenging. Visualization can aid in such interpretation of embeddings. In this paper, we examine the role for visualization in working with word vector embeddings. We provide a literature survey to catalogue the range of tasks where the embeddings are employed across a broad range of applications. Based on this survey, we identify key tasks and their characteristics. Then, we present visual interactive designs that address many of these tasks. The designs integrate into an exploration and analysis environment for embeddings. Finally, we provide example use cases for them and discuss domain user feedback.
    BibTeX
    @article {10.1111:cgf.13417,
    journal = {Computer Graphics Forum},
    title = {{Interactive Analysis of Word Vector Embeddings}},
    author = {Heimerl, Florian and Gleicher, Michael},
    year = {2018},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13417}
    }
    URI
    http://dx.doi.org/10.1111/cgf.13417
    https://diglib.eg.org:443/handle/10.1111/cgf13417
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    • 37-Issue 3

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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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