April 9, 2024, 4:50 a.m. | Francesca Grasso, Stefano Locci, Giovanni Siragusa, Luigi Di Caro

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.05133v1 Announce Type: new
Abstract: Anthropogenic ecological crisis constitutes a significant challenge that all within the academy must urgently face, including the Natural Language Processing (NLP) community. While recent years have seen increasing work revolving around climate-centric discourse, crucial environmental and ecological topics outside of climate change remain largely unaddressed, despite their prominent importance. Mainstream NLP tasks, such as sentiment analysis, dominate the scene, but there remains an untouched space in the literature involving the analysis of environmental impacts of …

abstract analysis arxiv challenge classification climate community crisis cs.cl dataset detection discourse environmental environmental impact face impact language language processing natural natural language natural language processing nlp processing the academy topics twitter type work

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