Exploring Transformer-Based Contextual Knowledge Graph Embeddings : How the Design of the Attention Mask and the Input Structure Affect Learning in Transformer Models
The availability and use of knowledge graphs have become commonplace as a compact storage of information and for lookup of facts. However, the discrete representation makes the knowledge graph unavailable for tasks that need a continuous representation, such as predicting relationships between entit...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Artificiell intelligens och integrerade datorsystem
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175400 |