Publication: A dataset for detecting real-world environmental claims
A dataset for detecting real-world environmental claims
Date
Date
Date
2023
Conference or Workshop Item
Published version
| cris.virtual.orcid | https://orcid.org/0000-0001-5983-2360 | |
| cris.virtualsource.orcid | 0331cda6-e903-4e22-9b44-f89f54f581dc | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2023-08-02T07:53:57Z | |
| dc.date.available | 2023-08-02T07:53:57Z | |
| dc.date.issued | 2023-07-14 | |
| dc.description.abstract | In this paper, we introduce an expert-annotated dataset for detecting real-world environmental claims made by listed companies. We train and release baseline models for detecting environmental claims using this new dataset. We further preview potential applications of our dataset: We use our fine-tuned model to detect environmental claims made in answer sections of quarterly earning calls between 2012 and 2020 - and we find that the amount of environmental claims steadily increased since the Paris Agreement in 2015. | |
| dc.identifier.doi | 10.48550/arXiv.2209.00507 | |
| dc.identifier.other | merlin-id:23708 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/208781 | |
| dc.language.iso | eng | |
| dc.subject.ddc | 330 Economics | |
| dc.title | A dataset for detecting real-world environmental claims | |
| dc.type | conference_item | |
| dcterms.accessRights | info:eu-repo/semantics/openAccess | |
| dcterms.bibliographicCitation.originalpublishername | arxiv.org | |
| dcterms.bibliographicCitation.originalpublisherplace | Toronto, Canada | |
| dcterms.bibliographicCitation.pageend | 14 | |
| dcterms.bibliographicCitation.pagestart | 1 | |
| dcterms.bibliographicCitation.url | https://arxiv.org/abs/2209.00507v1 | |
| dspace.entity.type | Publication | en |
| oairecerif.event.country | Canada | |
| oairecerif.event.endDate | 2023-07-14 | |
| oairecerif.event.place | Toronto | |
| oairecerif.event.startDate | 2023-07-09 | |
| uzh.contributor.author | Leippold, Markus | |
| uzh.contributor.author | Stammbach, Dominik | |
| uzh.contributor.author | Webersinke, Nicolas | |
| uzh.contributor.author | Bingler, Julia Anna | |
| uzh.contributor.author | Kraus, Mathias | |
| uzh.contributor.correspondence | Yes | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.document.availability | published_version | |
| uzh.eprint.datestamp | 2023-08-02 07:53:57 | |
| uzh.eprint.lastmod | 2024-03-06 14:39:52 | |
| uzh.eprint.statusChange | 2023-08-02 07:53:57 | |
| uzh.event.presentationType | paper | |
| uzh.event.title | 61st Annual Meeting of the Association for Computational Linguistics (ACL’23) | |
| uzh.event.type | conference | |
| uzh.harvester.eth | Yes | |
| uzh.harvester.nb | No | |
| uzh.identifier.doi | 10.5167/uzh-235039 | |
| uzh.oastatus.zora | Green | |
| uzh.publication.citation | Leippold, Markus; Stammbach, Dominik; Webersinke, Nicolas; Bingler, Julia Anna; Kraus, Mathias (2023). A dataset for detecting real-world environmental claims. In: 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada, 9 July 2023 - 14 July 2023. arxiv.org, 1-14. | |
| uzh.publication.freeAccessAt | doi | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.publication.scope | disciplinebased | |
| uzh.workflow.chairSubject | Department of Banking and Finance | |
| uzh.workflow.chairSubject | oecIBF1 | |
| uzh.workflow.eprintid | 235039 | |
| uzh.workflow.fulltextStatus | public | |
| uzh.workflow.revisions | 12 | |
| uzh.workflow.rightsCheck | keininfo | |
| uzh.workflow.status | archive | |
| Files | ||
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