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PatentSBERTa

Sentence Similarity
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mpnet
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  PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
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- Hamid Bekamiri*, Daniel S. Hain, Roman Jurowetzki
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- *Corresponding author for this work
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- The IKE Research GroupThe Faculty of Social Sciences and HumanitiesAalborg University Business SchoolAI for the PeopleCluster for Research on Innovation and Development
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- Research output: Contribution to journal › Journal article › Research › peer-review
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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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  PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
 
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+ The IKE Research GroupThe Faculty of Social Sciences and HumanitiesAalborg University Business School, AI for the People, Cluster for Research on Innovation and Development
 
 
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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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