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Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques
Understanding the multifaceted effects of climate change across diverse geographic locations is crucial for timely adaptation and the development of effective mitigation strategies.
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach
In comparison with a months-long process of subject-matter expert labeling, we assign category labels to the whole corpus using weak supervision and supervised learning in about 13 hours.
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