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A Language Model based Framework for New Concept Placement in Ontologies
Published on Jun 14, 202446 Views
We investigate the task of inserting new concepts extracted from texts into an ontology using language models. We explore an approach with three steps: edge search which is to find a set of candidate
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Chapter list
A Language Model based Framework for New Concept Placement in Ontologies00:00
Emerging concepts to enrich Knowledge Bases00:31
Research Questions01:28
Concept Discovery and Placement01:50
Complex Concept and Complex Edges02:39
A Language Model framework for new concept placement in ontologies03:21
Edge Search04:28
Edge Formation and Enrichment05:27
Edge Selection06:25
Edge Selection (ii) with LLMs06:54
Template for explanation generation08:56
OET Dataset Construction Pipeline09:25
Data Statistic10:24
Evaluation metrics11:39
Results12:44
Results (cont.)14:33
Effect of Edge Enrichment14:55
Effect of explainable instruction tuning15:09
A case study15:37
Conclusion16:25
Thank you16:48