Summarizing Legal Regulatory Documents using Transformers

Date

2022-07-06

Author

Klaus, Svea
Van Hecke, Ria
Djafari Naini, Kaweh
Altıngövde, İsmail Sengör
Bernabé-Moreno, Juan
Herrera-Viedma, Enrique

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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© 2022 ACM.Companies invest a substantial amount of time and resources in ensuring the compliance to the existing regulations or in the form of fines when compliance cannot be proven in auditing procedures. The topic is not only relevant, but also highly complex, given the frequency of changes and amendments, the complexity of the cases and the difficulty of the juristic language. This paper aims at applying advanced extractive summarization to democratize the understanding of regulations, so that non-jurists can decide which regulations deserve further follow-up. To achieve that, we first create a corpus named EUR-LexSum EUR-LexSum containing 4595 curated European regulatory documents and their corresponding summaries. We then fine-tune transformer-based models which, applied to this corpus, yield a superior performance (in terms of ROUGE metrics) compared to a traditional extractive summarization baseline. Our experiments reveal that even with limited amounts of data such transformer-based models are effective in the field of legal document summarization.

Subject Keywords

eur-lex, extractive text summarization, legal ir, transformer

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135019374&origin=inward
https://hdl.handle.net/11511/99294

DOI

https://doi.org/10.1145/3477495.3531872

Conference Name

45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. Klaus, R. Van Hecke, K. Djafari Naini, İ. S. Altıngövde, J. Bernabé-Moreno, and E. Herrera-Viedma, “Summarizing Legal Regulatory Documents using Transformers,” presented at the 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022, Madrid, İspanya, 2022, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135019374&origin=inward.