NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang, Yue Zhang · 2018
This paper describes NCRF++, a toolkit for neural sequence labeling.NCRF++ is designed for quick implementation of different neural sequence labeling models with a CRF inference layer.It provides users with an inference for building the custom model structure through configuration file with flexible neural feature design and utilization.Built on PyTorch 1 , the core operations are calculated in batch, making the toolkit efficient with the acceleration of GPU.It also includes the implementations of most state-of-the-art neural sequence labeling models such as LSTM-CRF, facilitating reproducing and refinement on those methods.