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What is NER

Advancements in Model-Driven Architecture in Software Engineering
Is text analysis that allows classifying the named entities under various predefined classes.
Published in Chapter:
Towards a Generation of Class Diagram From User Stories in Agile Methods
Samia Nasiri (ENSAM, Moulay Ismail University of Meknes, Morocco), Yassine Rhazali (ISIC Research Team of ESTM, LMMI Laboratory of ENSAM, Moulay Ismail University of Meknes, Morocco), and Mohammed Lahmer (ISIC Research Team of ESTM, LMMI Laboratory of ENSAM, Moulay Ismail University of Meknes, Morocco)
Copyright: © 2021 |Pages: 25
DOI: 10.4018/978-1-7998-3661-2.ch008
Abstract
Model-driven architecture (MDA) is an alternative approach of software engineering that allows an automatic transformation from business process model to code model. In MDA there are two transformation kinds: transformation from computing independent model (CIM) to platform independent model (PIM) and transformation from PIM to platform specific model (PSM). In this chapter, the authors based on CIM to PIM transformation. This transformation is done by developing a platform that generates class diagram, presented in XMI file, from specifications that are presented in user stories, which are written in natural language (English). They used a natural language processing (NLP) tool named “Stanford Core NLP” for extracting of the object-oriented design elements. The approach was validated by focusing on two case studies: firstly, comparing the results with the results other researchers; and secondly, comparing the results with the results obtained manually. The benefits of the approach are aligned with agile methods goals.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Effective Entity Linking and Disambiguation Algorithms for User-Generated Content (UGC)
Named-entity recognition (NER; also known as entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities.
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