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anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes essential methods like fit, score, analyze and save/load. For more complex features, you should use the anaGo modules such as models, preprocessing and so on.
Features
- You can now iterate on your training data in batches
- Evaluate your performance in one line
- Download a pre-trained model, call download function
- Use ELMo for better performance
- Custom Model Support
- Custom Callback Support
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow anaGo
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