We address the challenges inherent in converting natural language (NL) requirements into machine-readable formats by investigating the application of named-entity recognition (NER) within the aerospace domain. Recognizing the necessity for domain-specific language models, we developed an open-source annotated aerospace corpus and fine-tuned different versions of the BERT language model on the corpus to create aeroBERT-NER: a new model for identifying named entities (NEs) in the aerospace domain. A comparison between aeroBERT-NER and BERT BASE -NER demonstrated the superior performance of aeroBERT-NER in identifying NEs within a set of aerospace requirements. The identified NEs contribute to the development of a glossary, promoting consistent terminology usage in aerospace requirements and addressing challenges associated with the standardization of NL requirements.


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    Titel :

    Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.06.2024




    Medientyp :

    Aufsatz (Konferenz) , Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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