@InProceedings{schreiber-kraft-zndorf:2018:N18-5,
  author    = {Schreiber, Marc  and  Kraft, Bodo  and  Zündorf, Albert},
  title     = {NLP Lean Programming Framework: Developing NLP Applications More Effectively},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {1--5},
  abstract  = {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 application more effectively. Project page: https://gitlab.com/schrieveslaach/NLPf Video Tutorial: https://www.youtube.com/watch?v=44UJspVebTA (Demonstration starts at 11:40 min) This paper is related to: - Interfaces and resources to support linguistic annotation - Software architectures and reusable components - Software tools for evaluation or error analysis},
  url       = {http://www.aclweb.org/anthology/N18-5001}
}