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Sagan

Paper

Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models

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AI summary

arXiv:2606. 07522v1 Announce Type: new Abstract: We propose an unsupervised method of resolving slang, unique entities, and folklore from online communities by isolating words in the lexicon that have the highest magnitude of semantic shift.