Papers with Slang
A Computational Framework for Slang Generation (2021.tacl-1)
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| Challenge: | Existing language models trained on large text corpora are biased toward formal language and under-represent slang. |
| Approach: | They propose a framework that models the speaker’s word choice in slang context by relating the conventional and sexist senses of a word while incorporating syntactic and contextual knowledge. |
| Outcome: | The proposed framework outperforms state-of-the-art language models and better predicts the historical emergence of slang word usages from 1960s to 2000s. |
How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages (2025.findings-emnlp)
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| Challenge: | Slang is a commonly used type of informal language that poses a daunting challenge to NLP systems. |
| Approach: | They compare human-attested slang and swiss-generated slurs with machine-generated ones . they find that LLMs have significant knowledge about the creative aspects of sling . |
| Outcome: | The proposed model compares human and machine-generated slang usages to find biases in human perceptions of sling . the results suggest that human-attested slms have significant knowledge about the creative aspects of a language . |
Semantically Informed Slang Interpretation (2022.naacl-main)
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| Challenge: | Existing approaches to slang interpretation rely on context but ignore semantic extensions common in slings . a semantically informed slapping framework can be applied to enhancing machine translation of informal language . |
| Approach: | They propose a semantically informed slang interpretation framework that considers contextual and semantic appropriateness of a candidate interpretation for a query s. |
| Outcome: | The proposed framework achieves state-of-the-art accuracy in slang interpretation in English and in other languages. |