himkt/pyner

🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.

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This toolkit helps natural language processing researchers and developers efficiently extract key information like names, organizations, and locations from text. You provide raw text data and configuration files, and it outputs a trained model that can identify and categorize these 'named entities'. It's designed for those building and evaluating advanced text analysis systems.

No commits in the last 6 months.

Use this if you are an NLP researcher or developer needing to train and evaluate neural network models for named entity recognition (NER) tasks, especially if you're working with the Chainer framework.

Not ideal if you're a business user looking for a ready-to-use application to extract entities without programming, or if you prefer other deep learning frameworks like TensorFlow or PyTorch.

natural-language-processing named-entity-recognition text-analytics machine-learning-research information-extraction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

45

Forks

6

Language

Python

License

MIT

Last pushed

Dec 08, 2022

Commits (30d)

0

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