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

arXiv:2608.26685 · cs.IR, cs.CL, cs.DL · Submitted 2026-08-27 · Read on arXiv

cs.IR, cs.CL, cs.DL

Submitted: 2026-08-27

Updated: 2026-08-27

Terminology

• Clustering — 36× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Generalizability — 4× in this paper · explained in 6 episodes
• Harvard USPTO Patent Dataset — 4× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Normalized Pointwise Mutual Information — 3× in this paper
• Ontology — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• International Patent Classification — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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