NCRFpp
seqeval
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| NCRFpp | seqeval | |
|---|---|---|
| 1 | 1 | |
| 1,877 | 1,044 | |
| - | 1.3% | |
| 0.0 | 0.0 | |
| almost 2 years ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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NCRFpp
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Speech and Language Processing (3rd ed. draft)
They still talk about Hidden Markov Models (HMMs) in quite a bit of detail in the sequence labelling chapter, but you are quite right, Conditional Random Fields (CRFs) and especially neural network based CRFs are in the top rankings when it comes to named entity recognition (NER) and part-of-speech tagging (POS), e.g. see https://github.com/jiesutd/NCRFpp.
seqeval
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Beginner questions about NER model evaluation.
. The standard way to evaluate NER (or any other sequence labelling problem) is to use the conlleval script (https://www.clips.uantwerpen.be/conll2000/chunking/output.html) or through the seqeval package in python (https://github.com/chakki-works/seqeval) . Either way, you need a list of predicted labels and a list of gold labels (see the code example in the link, it should be trivial to converse your output to the same data format).
What are some alternatives?
zshot - Zero and Few shot named entity & relationships recognition
scikit-learn - scikit-learn: machine learning in Python
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
tensorflow - An Open Source Machine Learning Framework for Everyone
nn-morse - Decode morse using a neural network
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
pytorch-partial-crf - CRF, Partial CRF and Marginal CRF in PyTorch
Keras - Deep Learning for humans