VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law-Reference-Cited by-同舟云学术

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VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Rossi Julien¹,Vakulenko Svitlana¹,Kanoulas Evangelos¹

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

Funder

NWO Smart Culture - Big Data / Digital Humanities

NWO Innovational Research Incentives Scheme Vidi

H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart Green And Integrated Transport

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482021

Reference45 articles.

1. Federico Barrios Federico López Luis Argerich and Rosa Wachenchauzer. 2016. Variations of the Similarity Function of TextRank for Automated Summarization. arXiv:1602.03606 [cs.CL] Federico Barrios Federico López Luis Argerich and Rosa Wachenchauzer. 2016. Variations of the Similarity Function of TextRank for Automated Summarization. arXiv:1602.03606 [cs.CL]

2. A faster algorithm for betweenness centrality*

3. CENTRALITY ESTIMATION IN LARGE NETWORKS

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