Linguistic Regularities in Non-Contextual Embeddings
Non-contextual word embeddings, which are learned by neural language models, can capture structural linguistic regularities. Within this continuous representation space, the semantic and syntactic relationships between words can often be characterized by relation-specific vector offsets.
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Linguistic Regularities in Non-Contextual Embeddings
Linguistic Regularities in Non-Contextual Embeddings