Albert Zündorf

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2018

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NLP Lean Programming Framework: Developing NLP Applications More Effectively
Marc Schreiber | Bodo Kraft | Albert Zündorf
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

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
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