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In this paper we present a method to concatenate patent claims to their owndescription. By applying this method, BERT trains suitable descriptions forclaims. Such a trained BERT (claim-to-description- BERT) could be able toidentify novelty relevant descriptions for patents. In addition, we introduce anew scoring scheme, relevance scoring or novelty scoring, to process the outputof BERT in a meaningful way. We tested the method on patent applications bytraining BERT on the first claims of patents and corresponding descriptions.BERT's output has been processed according to the relevance score and theresults compared with the cited X documents in the search reports. The testshowed that BERT has scored some of the cited X documents as highly relevant.

BERT based patent novelty search by training claims to their own description