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Master Thesis on Patent named entity recognition (NER) and its applications in classification, efficient search and content recommendation

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Patent-named-entity-recognition-NER-

Master Thesis implementing patent named entity recognition (NER) and its applications in classification, efficient search and content recommendation. The folder contains the created dataset used for performing PNER namely claims_annotated_all.json. It contains files of the models implemented on this dataset namely Spacy's Spancat, BERT for Patents and RoBERTa-Base using Spacy.

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Master Thesis on Patent named entity recognition (NER) and its applications in classification, efficient search and content recommendation

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