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  - 
TY  - CHAP
A1  - Schmidts, Oliver
A1  - Kraft, Bodo
A1  - Schreiber, Marc
A1  - Zündorf, Albert
T1  - Continuously evaluated research projects in collaborative decoupled environments
T2  - 2018 ACM/IEEE 5th International Workshop on Software Engineering Research and Industrial PracticePractice, May 29, 2018, Gothenburg, Sweden : SER&IP' 18
N2  - Often, research results from collaboration projects are not transferred into productive environments even though approaches are proven to work in demonstration prototypes. These demonstration prototypes are usually too fragile and error-prone to be transferred
easily into productive environments. A lot of additional work is required.
Inspired by the idea of an incremental delivery process, we introduce an architecture pattern, which combines the approach of Metrics Driven Research Collaboration with microservices for the ease of integration. It enables keeping track of project goals over the course of the collaboration while every party may focus on their expert skills: researchers may focus on complex algorithms,
practitioners may focus on their business goals.
Through the simplified integration (intermediate) research results can be introduced into a productive environment which enables
getting an early user feedback and allows for the early evaluation of different approaches. The practitioners’ business model benefits throughout the full project duration.
Y1  - 2018
SP  - 1
EP  - 9
PB  - ACM
CY  - New York, NY
ER  -