On evaluating legal summaries with ROUGE-Reference-Cited by-同舟云学术

On evaluating legal summaries with ROUGE

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law
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Author:

Steffes Bianca¹^ORCID,Rataj Piotr²^ORCID,Burger Luise³^ORCID,Roth Lukas³^ORCID

Affiliation:

1. Saarland University, Saarland Informatics Campus, Saarbrücken, Germany

2. Saarland University, Saarland Informatics Campus, Saarbrücken, Germany, Zentrum für Recht und Digitalisierung, Saarbrücken, Germany

3. Zentrum für Recht und Digitalisierung, Saarbrücken, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594536.3595150

Reference12 articles.

1. Incorporating domain knowledge for extractive summarization of legal case documents

2. Atefeh Farzindar and Guy Lapalme. 2004. LetSum an automatic Legal Text Summarizing system. In Legal Knowledge and Information Systems Jurix 2004: The Seventeenth Annual Conference. 11--18. Atefeh Farzindar and Guy Lapalme. 2004. LetSum an automatic Legal Text Summarizing system. In Legal Knowledge and Information Systems Jurix 2004: The Seventeenth Annual Conference. 11--18.

3. Shaz Furniturewala , Racchit Jain , Vijay Kumari , and Yashvardhan Sharma . 2021 . Legal Text Classification and Summarization using Transformers and Joint Text Features . In Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021 (CEUR Workshop Proceedings , Vol. 3159), Parth Mehta 0001 , Thomas Mandl 0001, Prasenjit Majumder, and Mandar Mitra (Eds.). CEUR-WS.org, 541--546. http://ceur-ws.org/Vol-3159/T2-4.pdf Shaz Furniturewala, Racchit Jain, Vijay Kumari, and Yashvardhan Sharma. 2021. Legal Text Classification and Summarization using Transformers and Joint Text Features. In Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021 (CEUR Workshop Proceedings, Vol. 3159), Parth Mehta 0001, Thomas Mandl 0001, Prasenjit Majumder, and Mandar Mitra (Eds.). CEUR-WS.org, 541--546. http://ceur-ws.org/Vol-3159/T2-4.pdf

4. Kavita Ganesan . 2018. ROUGE 2.0 : Updated and Improved Measures for Evaluation of Summarization Tasks. CoRR abs/1803.01937 ( 2018 ). arXiv:1803.01937 http://arxiv.org/abs/1803.01937 Kavita Ganesan. 2018. ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks. CoRR abs/1803.01937 (2018). arXiv:1803.01937 http://arxiv.org/abs/1803.01937

5. Chin-Yew Lin . 2004 . Looking for a Few Good Metrics: Automatic Summarization Evaluation - How Many Samples Are Enough? . In NTCIR 2004 (NTCIR-4). NII, NII. https://www.microsoft.com/en-us/research/publication/looking-for-a-few-good-metrics-automatic-summarization-evaluation-how-many-samples-are-enough/ Chin-Yew Lin. 2004. Looking for a Few Good Metrics: Automatic Summarization Evaluation - How Many Samples Are Enough?. In NTCIR 2004 (NTCIR-4). NII, NII. https://www.microsoft.com/en-us/research/publication/looking-for-a-few-good-metrics-automatic-summarization-evaluation-how-many-samples-are-enough/