pytorch-bert-crf-ner and Bert-BiLSTM-CRF-pytorch
About pytorch-bert-crf-ner
eagle705/pytorch-bert-crf-ner
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
This tool helps anyone working with Korean text automatically identify and extract key pieces of information like names of people, locations, organizations, dates, and products. You input raw Korean sentences, and it outputs the same sentences with these important entities clearly tagged. This is useful for data analysts, researchers, or anyone needing to quickly structure information from unstructured Korean text.
About Bert-BiLSTM-CRF-pytorch
cooscao/Bert-BiLSTM-CRF-pytorch
bert-bilstm-crf implemented in pytorch for named entity recognition.
This tool helps you automatically identify and extract specific types of entities, like names of people, places, or medical terms, from Chinese text. You input raw Chinese text that has been prepared into a specific 'BIO' format, and the system outputs the same text with the identified entities tagged. This is useful for anyone working with large volumes of Chinese text data, such as researchers, linguists, or data analysts.
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