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.
natural-language-processing
crf
cnn
pytorch
artificial-intelligence
lstm
named-entity-recognition
neural-networks
chunking
ner
char-rnn
part-of-speech-tagger
sequence-labeling
nbest
lstm-crf
char-cnn
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Updated
Apr 11, 2020 - Python
Evaluating on validation corpus...
217it [12:27, 5.54s/it]Traceback (most recent call last):
File "./src/coref.py", line 690, in
trainer.train(150)
File "./src/coref.py", line 467, in train
results = self.evaluate(self.val_corpus)
File "./src/coref.py", line 566, in evaluate
predicted_docs = [self.predict(doc) for doc in tqdm(val_corpus)]
File "./src/coref.p