Shypd.aiThe largest open index of AI toolszh-NER-TF is an open-source Coding & Development tool that provides a simple BiLSTM-CRF model for Chinese Named Entity Recognition. It is implemented in TensorFlow and identifies PERSON, LOCATION, and ORGANIZATION entities.
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zh-NER-TF is an open-source project offering a straightforward character-based BiLSTM-CRF model specifically designed for Chinese Named Entity Recognition (NER). This TensorFlow-based tool aims to identify three key entity types: PERSON, LOCATION, and ORGANIZATION within Chinese text. The model utilizes a look-up layer for character embeddings, a BiLSTM layer to extract features from both past and future input, and a CRF layer to ensure grammatically correct tag sequences, addressing limitations of simpler Softmax layers. It includes preprocessed data files and a vocabulary for easy setup, and users can train, test, or demo the model with their own datasets after transforming them into the specified format. The repository provides instructions for running the model and evaluating its performance.
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