nlquery
NCRFpp
nlquery | NCRFpp | |
---|---|---|
1 | 1 | |
6 | 1,877 | |
- | - | |
5.7 | 0.0 | |
3 months ago | almost 2 years ago | |
C# | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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nlquery
NCRFpp
-
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.
What are some alternatives?
Superpower - A C# parser construction toolkit with high-quality error reporting
zshot - Zero and Few shot named entity & relationships recognition
Sprache - A tiny, friendly, C# parser construction library
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
nn-morse - Decode morse using a neural network
pytorch-partial-crf - CRF, Partial CRF and Marginal CRF in PyTorch
speech-music-detection - Python framework for Speech and Music Detection using Keras.
fps_highlights - Make beautiful highlights from FPS vidéos
kraken - OCR engine for all the languages