jayavardhanr/End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial
Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
This is a tutorial for developers to learn how to build a system that can identify and categorize specific entities (like names of people, organizations, or locations) within raw text. It takes text documents as input and outputs the same text with identified entities clearly labeled. This is designed for machine learning engineers and data scientists working on natural language processing tasks.
125 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer looking for a step-by-step guide to implement a state-of-the-art named entity recognition (NER) model using PyTorch.
Not ideal if you are looking for a pre-built tool to apply named entity recognition without needing to understand or implement the underlying machine learning model.
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Mar 15, 2021
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