{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T23:08:59Z","timestamp":1778368139713,"version":"3.51.4"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032190956","type":"print"},{"value":"9783032190963","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-19096-3_7","type":"book-chapter","created":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T22:15:59Z","timestamp":1778364959000},"page":"107-115","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning for\u00a0Climate Policy: Understanding Policy Progression in\u00a0the\u00a0European Green Deal"],"prefix":"10.1007","author":[{"given":"Patricia","family":"West","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9090-2387","authenticated-orcid":false,"given":"Michelle Wing Lam","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2674-1478","authenticated-orcid":false,"given":"Alexander","family":"Hepburn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6447-1552","authenticated-orcid":false,"given":"Edwin","family":"Simpson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9576-3905","authenticated-orcid":false,"given":"Raul","family":"Santos-Rodriguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0118-3999","authenticated-orcid":false,"given":"Jeffrey Nicholas","family":"Clark","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","unstructured":"Webersinke, N., et al.: ClimateBert: a pretrained language model for climate-related text. In: AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges (2022). https:\/\/doi.org\/10.48550\/arXiv.2212.13631","DOI":"10.48550\/arXiv.2212.13631"},{"key":"7_CR2","unstructured":"Clark, J., Wan, M., Santos-Rodr\u00edguez, R.: Understanding climate legislation decisions with machine learning. In: Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023 (2023)"},{"key":"7_CR3","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding (2018). https:\/\/doi.org\/10.48550\/ARXIV.1810.04805, https:\/\/arxiv.org\/abs\/1810.04805","DOI":"10.48550\/ARXIV.1810.04805"},{"key":"7_CR4","unstructured":"European parliament: legislative train schedule, https:\/\/www.europarl.europa.eu\/legislative-train\/theme-a-european-green-deal, Accessed 24 Feb 24"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer Series in Statistics, Springer New York Inc., New York, NY, USA (2001)","DOI":"10.1007\/978-0-387-21606-5"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s10462-017-9566-2","volume":"51","author":"A Kanapala","year":"2019","unstructured":"Kanapala, A., Pal, S., Pamula, R.: Text summarization from legal documents: a survey. Artif. Intell. Rev. 51, 371\u2013402 (2019)","journal-title":"Artif. Intell. Rev."},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Y., Lapata, M.: Text summarization with pretrained encoders. arXiv preprint arXiv:1908.08345 (2019)","DOI":"10.18653\/v1\/D19-1387"},{"key":"7_CR8","unstructured":"Lundberg, S.M., Lee, S.I.: A unified approach to interpreting model predictions. In: Advances in Neural Information Processing Systems, vol.\u00a030. Curran Associates, Inc. (2017), https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2017\/file\/8a20a8621978632d76c43dfd28b67767-Paper.pdf"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Lyu, Q., Apidianaki, M., Callison-Burch, C.: Towards faithful model explanation in nlp: a survey. Computational Linguistics, pp. 1\u201367 (2024)","DOI":"10.1162\/coli_a_00511"},{"key":"7_CR10","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al.: Scikit-learn: machine learning in python journal of machine learning research. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"7_CR11","unstructured":"Prokhorenkova, L., Gusev, G., Vorobev, A., Dorogush, A.V., Gulin, A.: Catboost: unbiased boosting with categorical features. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol.\u00a031. Curran Associates, Inc. (2018), https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2018\/file\/14491b756b3a51daac41c24863285549-Paper.pdf"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-19096-3_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T22:16:02Z","timestamp":1778364962000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-19096-3_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032190956","9783032190963"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-19096-3_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecmlpkdd.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}