Augmenting Knowledge Graph Hierarchies Using Neural Transformers
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916202349068288 |
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| author | Sharma, Sanat Poddar, Mayank Kumar, Jayant Blank, Kosta King, Tracy |
| author_facet | Sharma, Sanat Poddar, Mayank Kumar, Jayant Blank, Kosta King, Tracy |
| contents | Knowledge graphs are useful tools to organize, recommend and sort data. Hierarchies in knowledge graphs provide significant benefit in improving understanding and compartmentalization of the data within a knowledge graph. This work leverages large language models to generate and augment hierarchies in an existing knowledge graph. For small (<100,000 node) domain-specific KGs, we find that a combination of few-shot prompting with one-shot generation works well, while larger KG may require cyclical generation. We present techniques for augmenting hierarchies, which led to coverage increase by 98% for intents and 99% for colors in our knowledge graph. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_08020 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Augmenting Knowledge Graph Hierarchies Using Neural Transformers Sharma, Sanat Poddar, Mayank Kumar, Jayant Blank, Kosta King, Tracy Artificial Intelligence Computation and Language Digital Libraries Information Retrieval Machine Learning Knowledge graphs are useful tools to organize, recommend and sort data. Hierarchies in knowledge graphs provide significant benefit in improving understanding and compartmentalization of the data within a knowledge graph. This work leverages large language models to generate and augment hierarchies in an existing knowledge graph. For small (<100,000 node) domain-specific KGs, we find that a combination of few-shot prompting with one-shot generation works well, while larger KG may require cyclical generation. We present techniques for augmenting hierarchies, which led to coverage increase by 98% for intents and 99% for colors in our knowledge graph. |
| title | Augmenting Knowledge Graph Hierarchies Using Neural Transformers |
| topic | Artificial Intelligence Computation and Language Digital Libraries Information Retrieval Machine Learning |
| url | https://arxiv.org/abs/2404.08020 |