HIERARCHICAL SEGMENTATION OF UNSTRUCTURED TEXT USING NEURAL NETWORKS

    公开(公告)号:US20250165517A1

    公开(公告)日:2025-05-22

    申请号:US18511186

    申请日:2023-11-16

    Applicant: Adobe Inc.

    Abstract: Embodiments are disclosed for a digital design system trained to segment unstructured text into topically coherent segments. The method may include receiving unstructured text, the unstructured text including a sequence of sentences. The disclosed systems and methods further comprise generating, by a neural network, a hierarchically segmented tree structure representing the unstructured text. The tree structure comprises a plurality of tree structure nodes, where a node of the tree structure nodes represents a sentence from the sequence of sentences. The segments and sub-segments of the unstructured text can then be determined based on node data for nodes of the hierarchically segmented tree structure. Using the determined segments and sub-segments of the unstructured text, a modified representation of the unstructured text can be displayed.

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