TY  - CHAP
A1  - Schreiber, Marc
A1  - Kraft, Bodo
A1  - Zündorf, Albert
T1  - NLP Lean Programming Framework: Developing NLP Applications More Effectively
T2  - Proceedings of NAACL-HLT 2018: Demonstrations, New Orleans, Louisiana, June 2 - 4, 2018
N2  - This paper presents NLP Lean Programming
framework (NLPf), a new framework
for creating custom natural language processing
(NLP) models and pipelines by utilizing
common software development build systems.
This approach allows developers to train and
integrate domain-specific NLP pipelines into
their applications seamlessly. Additionally,
NLPf provides an annotation tool which improves
the annotation process significantly by
providing a well-designed GUI and sophisticated
way of using input devices. Due to
NLPf’s properties developers and domain experts
are able to build domain-specific NLP
applications more efficiently. NLPf is Opensource
software and available at https://
gitlab.com/schrieveslaach/NLPf.
Y1  - 2018
U6  - http://dx.doi.org/10.18653/v1/N18-5001 
ER  -