lonePatient/BiLSTM-CRF-NER-PyTorch
This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
This project helps developers working with natural language processing to build models that can identify specific types of entities like locations, people, or organizations within text. It takes raw text data, processes it, and outputs a trained model capable of tagging these named entities. This is useful for machine learning engineers or NLP specialists.
120 stars. No commits in the last 6 months.
Use this if you are an NLP developer needing a PyTorch implementation for Named Entity Recognition using a BiLSTM-CRF model.
Not ideal if you are a non-developer seeking an out-of-the-box solution for text analysis, as this requires coding knowledge and environment setup.
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Python
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Last pushed
Jun 13, 2019
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