Summary of Impoverished Language Technology: the Lack Of (social) Class in Nlp, by Amanda Cercas Curry et al.
Impoverished Language Technology: The Lack of (Social) Class in NLP
by Amanda Cercas Curry, Zeerak Talat, Dirk Hovy
First submitted to arxiv on: 6 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, the authors investigate the relationship between socioeconomic status (SES) and natural language processing (NLP). They survey existing NLP literature and find a significant lack of research on SES, despite its importance in linguistics. The authors provide a definition of SES that can be operationalized by NLP researchers and argue for including it in future language technologies. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how people’s socioeconomic status affects their language use. Researchers have studied age and gender before, but not much about socioeconomic class. The authors found that most papers on NLP don’t even mention class, let alone study it. They think SES is important to include in future language technologies. |
Keywords
* Artificial intelligence * Natural language processing * Nlp
