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Found 5 papers, 3 papers with code
Toward Informal Language Processing: Knowledge of Slang in Large Language Models
Our work offers a comprehensive evaluation and a high-quality benchmark on English slang based on the OpenSubtitles corpus, serving both as a publicly accessible resource and a platform for applying tools for informal language processing.
Tracing Semantic Variation in Slang
However, slang semantic variation is not well understood and under-explored in the natural language processing of slang.
Semantically Informed Slang Interpretation
Slang is a predominant form of informal language making flexible and extended use of words that is notoriously hard for natural language processing systems to interpret.
A Computational Framework for Slang Generation
Slang is a common type of informal language, but its flexible nature and paucity of data resources present challenges for existing natural language systems.
Slang Detection and Identification
The prevalence of informal language such as slang presents challenges for natural language systems, particularly in the automatic discovery of flexible word usages.
