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NER\nNamed-entity recognition in German language using combined of deep neural network and ruled-based approach in C# for .NET\n\n#\nMetrics for includes models:\n\n ner_de__em128__e6xm8_[union]:\n```\nCommon-Score: '95.42'\n\nB-PER: F-score = '97.98' Precision = '98.34' Recall = '97.62'\nI-PER: F-score = '98.39' Precision = '98.70' Recall = '98.09'\nB-LOC: F-score = '95.70' Precision = '95.81' Recall = '95.58'\nI-LOC: F-score = '94.55' Precision = '93.61' Recall = '95.50'\nB-ORG: F-score = '92.62' Precision = '92.84' Recall = '92.41'\nI-ORG: F-score = '93.29' Precision = '93.73' Recall = '92.86'\n\nThe number of categories = '6' of '6'\n```\n ner_de__em128__e6xm8_[union]_(upper):\n```\nCommon-Score: '95.47'\n\nB-PER: F-score = '98.04' Precision = '98.54' Recall = '97.54'\nI-PER: F-score = '98.34' Precision = '98.74' Recall = '97.95'\nB-LOC: F-score = '95.58' Precision = '95.79' Recall = '95.38'\nI-LOC: F-score = '94.99' Precision = '94.96' Recall = '95.01'\nB-ORG: F-score = '92.35' Precision = '92.62' Recall = '92.08'\nI-ORG: F-score = '93.55' Precision = '94.46' Recall = '92.64'\n\nThe number of categories = '6' of '6'\n```\n#\n\nIncluded NER UI sample:\n![alt tag](https://github.com/zamgi/lingvo--NER--German/blob/master/ner.combined.german.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzamgi%2Flingvo--ner--german","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzamgi%2Flingvo--ner--german","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzamgi%2Flingvo--ner--german/lists"}