Do Language Models Know Their Slang? Queer Slang Understanding in User-Generated Content
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Computer Science > Computation and Language
Title:Do Language Models Know Their Slang? Queer Slang Understanding in User-Generated Content
Abstract:Despite its cultural relevance and diffusion, queer slang remains underrepresented in Natural Language Processing research. Towards addressing this gap, we introduce Slang-Q, a manually curated dataset of naturally user-generated English sentences paired with queer slang terms and reference definitions, built upon a newly constructed taxonomy of 118 queer terms. We use this resource to conduct a first exploratory evaluation of language models on their ability to understand and define queer slang under varying prompting conditions. Slang-Q is intended as a basis for studying how current models handle sensitive, community-specific language and whether they can provide accurate and reliable information about such forms of identity and linguistic expression.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2608.04847 [cs.CL] |
| (or arXiv:2608.04847v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.04847
arXiv-issued DOI via DataCite (pending registration)
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