Abstract
This chapter provides a high-level overview of the various NLP processes typically required for an ontology learning system,ranging from low-level linguistic pre-processing, through parsing, term recognition and information extraction. Since ontology learning research tends to reuse many existing NLP tools, this chapter also discusses some of the most widely used, open-source ones, providing references to further reading materials.
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APA
Maynard, D., & Bontcheva, K. (2014). Natural language processing. In Perspectives on Ontology Learning (Vol. 18, pp. 51–67). IOS Press. https://doi.org/10.5121/ijci.2023.120205
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