SkyAndCloud/bilstm_crf_sequence_labeling_pytorch
Bi-LSTM+CRF sequence labeling model implemented in PyTorch
This tool helps data scientists and NLP practitioners automatically identify and categorize specific entities within text. You input raw text where each word has a corresponding label, and it outputs a model that can then predict these labels for new, unlabeled text. This is designed for those working with natural language processing tasks who need to extract structured information from unstructured text.
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Use this if you need to build a robust model for Named Entity Recognition (NER) to automatically tag words in text with specific categories like names, locations, or organizations.
Not ideal if you don't have labeled textual data for training, as it requires text where each token is already associated with its correct entity tag.
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Python
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Nov 29, 2018
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