Muhammad Yahiya |
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Research |
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Beyond modeling: NLP Pipeline for efficient environmental policy analysisJordi Planas, Daniel Firebanks-Quevedo, Galina Naydenova, Ramansh Sharma, Cristina Taylor, Kathleen Buckingham, Rong Fang Fragile Earth proceedings - KDD 2021, 2021 paper / arxiv / code / video We propose a Knowledge Management Framework based on NLP techniques that would tackle challenges such as resource-intensive nature, lack of comprehensive information sources, and overlapping jurisdictions in policy analysis. The framework is designed to be platform-, language- and policy-agnostic. To classify financial incentives in restoration policies, both Sentence-BERT and Cross-Encoders performed well. For sentence classification inference with Sentence-BERT, a random forest classifier can be used to assign a category to a given sentence using the Sentence-BERT learned embeddings. |
Other notes |
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Adapted from Muhammad Yahiya's fork of Leonid Keselman's website. |