NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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Updated
Jun 30, 2022 - Python
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).
Sequence Tagger implementation
Text Classification Based on Chinese SogouNews
Character-Aware Neural Language Models (Yoon Kim), lstm-char-cnn
Text classification using char-CNN + word-CNN
Course project for machine learning(cmu 10701, phd)
Deep neural network for sequential data
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