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Related Questions
- How do knowledge graph embeddings perform on novel, unseen metaphorical relationships?
- Can knowledge graph embeddings capture the nuances of context-dependent metaphors?
- Do knowledge graph embeddings struggle with metaphors that involve abstract or ambiguous concepts?
- How do knowledge graph embeddings handle metaphors that require world knowledge or background information?
- Can knowledge graph embeddings learn to disentangle literal and metaphorical meanings?
- What techniques can be used to improve knowledge graph embeddings' ability to handle out-of-distribution metaphors?
- How do knowledge graph embeddings compare to other approaches, such as graph neural networks or attention-based models, in handling metaphors?
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