deep-crf

How to use?

• Please read Github's README.md

Features

Easy install/train/test "Sequential Tagging Model with Neural Networks and CRFs".

• Bi-LSTM / Bi-GRU / Bi-RNN
• CNN for character-level representation
• Pre-trained word embedding
• Pre-trained character embedding
• CRFs at output layer
• CoNLL format input/output
• Raw text data input/output
• Training : Your variable files
• Test : Raw text file at command-line
• Evaluation : F-measure, Accuracy

How to install?

• git clone https://github.com/aonotas/deep-crf
• cd deep-crf
• pip install .

How to train?

$ deep-crf train input_file.txt --delimiter ' ' --model_name bilstm-cnn-crf

How to predict?

$ deep-crf predict input_raw_file.txt --model_name bilstm-cnn-crf --model_filename bilstm-cnn-crf_adam.model

Publications

• (Undereview...!)