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README.md
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# TechTokenBERT
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**TechTokenBERT** is a state-of-the-art patent embedding model based on BERT
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The core innovation is treating International Patent Classification (IPC) codes as dedicated tokens in the model's vocabulary (*technological tokens*). This allows the attention mechanism to operate directly between patent text and classification codes during fine-tuning, producing embeddings that are simultaneously aware of linguistic content and technological structure.
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# TechTokenBERT
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**TechTokenBERT** is a state-of-the-art patent embedding model based on BERT. It outperforms larger and task-specific models on IPC code classification, citation prediction, and title–abstract matching.
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The core innovation is treating International Patent Classification (IPC) codes as dedicated tokens in the model's vocabulary (*technological tokens*). This allows the attention mechanism to operate directly between patent text and classification codes during fine-tuning, producing embeddings that are simultaneously aware of linguistic content and technological structure.
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