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@@ -20,13 +20,15 @@ PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classificati
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  Aalborg University Business School, AI: Growth-Lab
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  https://www.sciencedirect.com/science/article/abs/pii/S0040162524003329
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- Bekamiri, H., Hain, D. S., & Jurowetzki, R. (2024). PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT. Technological Forecasting and Social Change, 206, 123536.
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  https://github.com/AI-Growth-Lab/PatentSBERTa
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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  <!--- Describe your model here -->
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  ## Usage (Sentence-Transformers)
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  )
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  ```
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- ## Citing & Authors
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  <!--- Describe where people can find more information -->
 
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  Aalborg University Business School, AI: Growth-Lab
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  https://www.sciencedirect.com/science/article/abs/pii/S0040162524003329
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  https://github.com/AI-Growth-Lab/PatentSBERTa
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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+ ## Citing & Authors
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+ Bekamiri, H., Hain, D. S., & Jurowetzki, R. (2024). PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT. Technological Forecasting and Social Change, 206, 123536.
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  <!--- Describe your model here -->
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  ## Usage (Sentence-Transformers)
 
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  ```
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  <!--- Describe where people can find more information -->