Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-20087Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tuggener, Don | - |
| dc.contributor.author | von Däniken, Pius | - |
| dc.contributor.author | Peetz, Thomas | - |
| dc.contributor.author | Cieliebak, Mark | - |
| dc.date.accessioned | 2020-05-29T13:54:37Z | - |
| dc.date.available | 2020-05-29T13:54:37Z | - |
| dc.date.issued | 2020-05 | - |
| dc.identifier.uri | https://www.aclweb.org/anthology/2020.lrec-1.155 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/20087 | - |
| dc.description.abstract | We present LEDGAR, a multilabel corpus of legal provisions in contracts. The corpus was crawled and scraped from the public domain (SEC filings) and is, to the best of our knowledge, the first freely available corpus of its kind. Since the corpus was constructed semi-automatically, we apply and discuss various approaches to noise removal. Due to the rather large labelset of over 12'000 labels annotated in almost 100'000 provisions in over 60'000 contracts, we believe the corpus to be of interest for research in the field of Legal NLP, (large-scale or extreme) text classification, as well as for legal studies. We discuss several methods to sample subcopora from the corpus and implement and evaluate different automatic classification approaches. Finally, we perform transfer experiments to evaluate how well the classifiers perform on contracts stemming from outside the corpus. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | European Language Resources Association | de_CH |
| dc.rights | http://creativecommons.org/licenses/by-nc/4.0/ | de_CH |
| dc.subject | Multilabel text classification | de_CH |
| dc.subject | Legal nlp | de_CH |
| dc.subject | Natural language processing | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.subject.ddc | 340: Recht | de_CH |
| dc.title | LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
| dc.identifier.doi | 10.21256/zhaw-20087 | - |
| zhaw.conference.details | 12th Language Resources and Evaluation Conference (LREC), Marseille, France, 11-16 May 2020 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 1241 | de_CH |
| zhaw.pages.start | 1235 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.title.proceedings | Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) | de_CH |
| zhaw.webfeed | Software Systems | de_CH |
| zhaw.webfeed | Natural Language Processing | de_CH |
| zhaw.funding.zhaw | SCAI: Smart Contract Analytics using Artificial Intelligence | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Tuggener-etal_LEDGAR_LREC.pdf | 218.08 kB | Adobe PDF |  View/Open |
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Tuggener, D., von Däniken, P., Peetz, T., & Cieliebak, M. (2020). LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts [Conference paper]. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 1235–1241. https://doi.org/10.21256/zhaw-20087
Tuggener, D. et al. (2020) ‘LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts’, in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, pp. 1235–1241. Available at: https://doi.org/10.21256/zhaw-20087.
D. Tuggener, P. von Däniken, T. Peetz, and M. Cieliebak, “LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts,” in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, pp. 1235–1241. doi: 10.21256/zhaw-20087.
TUGGENER, Don, Pius VON DÄNIKEN, Thomas PEETZ und Mark CIELIEBAK, 2020. LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts. In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) [online]. Conference paper. European Language Resources Association. Mai 2020. S. 1235–1241. Verfügbar unter: https://www.aclweb.org/anthology/2020.lrec-1.155
Tuggener, Don, Pius von Däniken, Thomas Peetz, and Mark Cieliebak. 2020. “LEDGAR : A Large-Scale Multi-Label Corpus for Text Classification of Legal Provisions in Contracts.” Conference paper. In Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 1235–41. European Language Resources Association. https://doi.org/10.21256/zhaw-20087.
Tuggener, Don, et al. “LEDGAR : A Large-Scale Multi-Label Corpus for Text Classification of Legal Provisions in Contracts.” Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association, 2020, pp. 1235–41, https://doi.org/10.21256/zhaw-20087.
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