Debrief

Aliases

Negation Awareness in Embeddings

Citation Status
Verified
Cited in Generated Atlas
Design Consequence

Standard text embeddings under-represent negation; targeted re-weighting restores it — why semantic similarity can quietly miss 'not.'

Full Citation

Enhancing Negation Awareness in Universal Text Embeddings: A Data-efficient and Computational-efficient Approach. (2025). arXiv:2504.00584.

Generated Atlas Citations
Source Class
Canonical
Themes
Negation
The Snag

Standard embeddings under-represent negation, so "X" and "not X" land near each other in vector space.

The Move

Use negation-aware re-weighting or store affirmative phrasings; test retrieval on negated queries.

The Cure

Encode polarity explicitly rather than trusting embeddings to carry it.

The Read

Semantic similarity can silently miss "not" — retrieval may return the opposite of what's meant.