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New BLANC method identifies patent white space using multi-view clustering

By PulseAugur Editorial · [2 sources] ·

Researchers have developed BLANC, a novel pipeline for identifying unexplored areas in patent landscapes, crucial for strategic R&D. This method employs multi-view neural topic modeling across semantic dimensions like application, novelty, and inventive step. It then uses Normalized Pointwise Mutual Information (NPMI) to quantify associations between clusters and a new metric, $\Delta$NPMI, to detect areas with decreased NPMI when filtered by a keyword, indicating potential white space. BLANC demonstrated effectiveness in recovering depleted technology combinations in machine learning/AI and glass composition patent corpora, outperforming random removals and single-view clustering. AI

IMPACT This method could enhance strategic R&D by uncovering novel patent opportunities, potentially accelerating innovation in AI and other fields.

RANK_REASON The cluster describes a new research paper detailing a novel method for patent analysis.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New BLANC method identifies patent white space using multi-view clustering

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The cluster describes a new research paper detailing a novel method for patent analysis.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Shuichi Miyazawa, Kensuke Fujii ·

    BLANC: Discovering Patent White Space via Changes in Normalized Pointwise Mutual Information Between Multi-View Clusters

    arXiv:2608.26685v1 Announce Type: cross Abstract: Identifying white space --- the unexplored but potentially valuable regions of a patent landscape --- is essential for strategic R&amp;D planning, yet existing methods rely on manual patent mapping or apply single-view clustering …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Kensuke Fujii ·

    BLANC: Discovering Patent White Space via Changes in Normalized Pointwise Mutual Information Between Multi-View Clusters

    Identifying white space --- the unexplored but potentially valuable regions of a patent landscape --- is essential for strategic R&D planning, yet existing methods rely on manual patent mapping or apply single-view clustering without quantitative gap detection. We propose BLANC (…

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