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Related Experiment Video

Updated: Aug 19, 2025

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PhraseMap: Attention-Based Keyphrases Recommendation for Information Seeking.

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    This study introduces a visual analytic approach using PhraseMap to enhance information retrieval. It efficiently guides users through large document collections by visualizing keyphrase relationships and enabling interactive exploration.

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    Area of Science:

    • Information Retrieval
    • Data Visualization
    • Natural Language Processing

    Background:

    • Traditional information retrieval (IR) methods struggle with complex phrase relationships and lack visual guidance for interactive exploration.
    • Phrase-based retrieval offers more concise information than word or paragraph-based methods but faces challenges in user-driven seeking.
    • Existing systems lack effective visualization for navigating extensive document corpora and understanding intricate phrase connections.

    Purpose of the Study:

    • To develop a visual analytic approach for efficient user-driven information seeking in large document collections.
    • To create an interactive system that visualizes keyphrase relationships and facilitates exploration.
    • To improve the usability and effectiveness of information retrieval through advanced visualization techniques.

    Main Methods:

    • Developed a PhraseMap visualizing keyphrases as nodes and their relationships as edges, extracted from documents.
    • Utilized BERT (Bidirectional Encoder Representations from Transformers) for word attention to link keyphrases, capturing semantic relationships.
    • Implemented a navigation algorithm with a question-answering (QA) model and user feedback for query-driven exploration.
    • Employed a resource-controlled self-organizing map (RC-SOM) for regular and semantic-preserving visualization of keyphrases.

    Main Results:

    • Case studies with domain experts demonstrated the approach's effectiveness in information seeking.
    • The visual analytic system proved usable and intelligent in navigating complex information landscapes.
    • PhraseMap visualization successfully represented keyphrase relationships and facilitated efficient exploration.

    Conclusions:

    • The proposed visual analytic approach significantly enhances interactive information retrieval from large corpora.
    • PhraseMap, powered by BERT and RC-SOM, offers a powerful tool for understanding complex document relationships.
    • The system's ability to integrate user queries and feedback makes it a valuable asset for researchers and domain experts.