Structured graph-to-text generation with two step fine-tuning
US11727210B2 · kind B2 · utility
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Key dates
| Filing date | Jan 29, 2021 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Apr 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/205
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments described herein provide systems and methods for data-to-text generation. The embodiments receive input data that includes a resource description framework (RDF) triples in an RDF graph. A data-to-text generation system generates position aware embeddings, including position embeddings, triple role embeddings, and tree-level embeddings. Using the position aware embeddings and the RDF graph, the data-to-text generation system generates a textual description for the RDF graph.
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