Can an embedding model learn relationships in a specialized field?
Yes, when suitable training or adaptation captures that field’s terminology and usage. Performance still needs evaluation on representative examples, especially for ambiguous or uncommon terms.
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More FAQs in How do embedding models represent relationships between words?
No. Words can share a topic, grammatical role, or context without being synonyms. Replacing one with another may change the meaning substantially.
Opposite words often appear in similar sentence structures and subject areas. A training objective focused on contextual patterns can therefore place their representations relatively close.
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