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        <title>NCRF++: An Open-source Neural Sequence Labeling Toolkit</title>
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            <title>Proceedings of ACL 2018, System Demonstrations</title>
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    <abstract>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 http://pytorch.org/, 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.</abstract>
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    <identifier type="doi">10.18653/v1/P18-4013</identifier>
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%0 Conference Proceedings
%T NCRF++: An Open-source Neural Sequence Labeling Toolkit
%A Yang, Jie
%A Zhang, Yue
%Y Liu, Fei
%Y Solorio, Thamar
%S Proceedings of ACL 2018, System Demonstrations
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F yang-zhang-2018-ncrf
%X 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 http://pytorch.org/, 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.
%R 10.18653/v1/P18-4013
%U https://aclanthology.org/P18-4013/
%U https://doi.org/10.18653/v1/P18-4013
%P 74-79

Markdown (Informal)

[NCRF++: An Open-source Neural Sequence Labeling Toolkit](https://aclanthology.org/P18-4013/) (Yang & Zhang, ACL 2018)

• NCRF++: An Open-source Neural Sequence Labeling Toolkit (Yang & Zhang, ACL 2018)

ACL

• Jie Yang and Yue Zhang. 2018. NCRF++: An Open-source Neural Sequence Labeling Toolkit. In Proceedings of ACL 2018, System Demonstrations, pages 74–79, Melbourne, Australia. Association for Computational Linguistics.