Refine
Year of publication
Document Type
- Conference Proceeding (27)
- Article (6)
- Other (1)
Language
- English (34) (remove)
Keywords
- CAD (8)
- civil engineering (8)
- Bauingenieurwesen (7)
- Natural language processing (4)
- Information extraction (3)
- Clustering (2)
- Active learning (1)
- Architectural design (1)
- CAD ; (1)
- Deep learning (1)
- Enterprise information systems (1)
- Information Extraction (1)
- Machine learning (1)
- Model-driven software engineering (1)
- Natural Language Processing (1)
- Natural language understanding (1)
- Process model (1)
- Profile Extraction (1)
- Profile extraction (1)
- Query learning (1)
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.
Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use.