Leveraging Language Models for Generating Ontologies of Research Topics (.pdf)

« The current generation of artificial intelligence technologies, such as smart search engines, recommendation systems, tools for systematic reviews, and question-answering applications, plays a crucial role in helping researchers manage and interpret scientific literature. Taxonomies and ontologies of research topics are a fundamental part of this environment as they allow intelligent systems and scientists to navigate the ever-growing number of research papers. However, creating these classifications manually is an expensive and time-consuming process, often resulting in outdated and coarse-grained representations.
Consequently, researchers have been focusing on developing automated or semi-automated methods to create taxonomies of research topics. (…) »

source > ceur-ws.org, 3rd International Workshop on Knowledge Graph Generation from Text (TEXT2KG 2024) May 28, 2024, Creete, GR,, CEUR Workshop Proceedings, vol. 2747, Enrico Motta, Angelo Salatino, Francesco Osborne, Livio Pompianu, Alessia Pisu

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