GitHub / tuananhfrtk / Combining-Contextual-words-and-KG-embeddings
Contextual embeddings are able to encode word meaning and polysemy to some degree. However, richer semantic information requires using representations other than texts, like knowledge graphs (KG). The goal of this project is to design a model to combining contextual and KG embeddings.
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PURL: pkg:github/tuananhfrtk/Combining-Contextual-words-and-KG-embeddings
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License: None
Language: OpenEdge ABL
Size: 4.13 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago
Topics: contextual-embeddings, knowledge-graph, relation-prediction, word-embeddings