Publication: ClimateBert: A pretrained language model for climate-related text
ClimateBert: A pretrained language model for climate-related text
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Leippold, M., Bingler, J. A., Kraus, M., & Webersinke, N. (2022, November 19). ClimateBert: A pretrained language model for climate-related text. AAAI Fall Symposium 2022, Arlington. https://doi.org/10.48550/arXiv.2110.12010
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Over the recent years, large pretrained language models (LM) have revolutionized the field of natural language processing (NLP). However, while pretraining on general language has been shown to work very well for common language, it has been observed that niche language poses problems. In particular, climate-related texts include specific language that common LMs can not represent accurately. We argue that this shortcoming of today's LMs limits the applicability of modern NLP to the broad field of text processing of climate-related te
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Citations
Leippold, M., Bingler, J. A., Kraus, M., & Webersinke, N. (2022, November 19). ClimateBert: A pretrained language model for climate-related text. AAAI Fall Symposium 2022, Arlington. https://doi.org/10.48550/arXiv.2110.12010