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license: apache-2.0
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Built upon Google's BERT for Patents as its base model, it generates 1024-dimensional dense vector embeddings from patent text.
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These vectors encapsulate the semantic essence of the given patent text, making it highly suitable for various downstream tasks related to patent analysis.
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## Applications
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* Semantic Search
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* Prior Art Search
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license: apache-2.0
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# PaECTER - a Patent Similarity Model
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PaECTER (Patent Embeddings using Citationinformed TransformERs) is a patent similarity model.
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Built upon Google's BERT for Patents as its base model, it generates 1024-dimensional dense vector embeddings from patent text.
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These vectors encapsulate the semantic essence of the given patent text, making it highly suitable for various downstream tasks related to patent analysis.
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Paper: https://arxiv.org/pdf/2402.19411
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## Applications
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* Semantic Search
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* Prior Art Search
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