Named Entity Recognition using BiLSTM-CRF and Spacy

This project implements a Bidirectional LSTM with Conditional Random Fields (BiLSTM-CRF) and Spacy for Named Entity Recognition (NER) tasks. The model is designed to identify and classify named entities in text, such as locations and seaweed species.

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Model Architecture (BiLSTM-CRF)

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Model Accuracy for each entity

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Requirements

• Python 3.7+
• TensorFlow 1.15.0
• Keras 2.2.4
• keras-contrib (for CRF layer)

You can install the required packages using:

pip install tensorflow==1.15.0 keras==2.2.4
pip install git+https://www.github.com/keras-team/keras-contrib.git