Autor:	Funk, Maurice, Hosemann, Simon, Jung, Jean Christoph, Lutz, Carsten
Rok vydání:	2023
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	We present a method for automatically constructing a concept hierarchy for a given domain by querying a large language model. We apply this method to various domains using OpenAI's GPT 3.5. Our experiments indicate that LLMs can be of considerable help for constructing concept hierarchies. Comment: KBC-LM'23: Knowledge Base Construction from Pre-trained Language Models workshop at ISWC 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.09898 Zobrazit plný text záznamu View this record from Arxiv