The recent advances in Artificial Intelligence and Deep Learning are widely used in real-world applications. Enterprises create multiple corpora and use them to train machine learning models for various applications. As the adoption becomes more widespread, it raises further concerns in areas such as maintenance, governance and reusability. This paper will explore the ways to leverage ontologies for these tasks in Natural Language Processing. Specifically, we explore the usage of ontologies as a schema, configuration and output format. The approach described in the paper are based on our experience in a number of projects for medical, enterprise and national security domains.
CITATION STYLE
Erekhinskaya, T., Morris, M., Strebkov, D., & Moldovan, D. (2020). Leveraging ontologies for natural language processing in enterprise applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11878 LNCS, pp. 79–85). Springer. https://doi.org/10.1007/978-3-030-40907-4_8
Mendeley helps you to discover research relevant for your work.