AISep 18, 2023

Towards Ontology Construction with Language Models

arXiv:2309.09898v153 citationsh-index: 17
Originality Synthesis-oriented
AI Analysis

This addresses the problem of ontology construction for researchers or practitioners in knowledge representation, but it is incremental as it applies existing LLMs to a new application without major methodological innovation.

The authors tackled the problem of automatically constructing concept hierarchies for various domains by querying a large language model, specifically OpenAI's GPT-3.5, and found that LLMs can be of considerable help for this task.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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