Neural generation of textual summaries from knowledge base triples
Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this thesis, we investigate the problem of generating natural language summaries for structured data encoded as triples using neural networks. We propose an end-to-end trainable architecture that encodes th...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
University of Southampton
2019
|
| Subjects: | |
| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766858 |