Citation Recommendation on Scholarly Legal Articles

Citation recommendation is the task of finding appropriate citations based on a given piece of text. The proposed datasets for this task consist mainly of several scientific fields, lacking some core ones, such as law. Furthermore, citation recommendation is used within the legal domain to identify supporting arguments, utilizing non-scholarly legal articles. In order to alleviate the limitations of existing studies, we gather the first scholarly legal dataset for the task of citation recommendation. Also, we conduct experiments with state-of-the-art models and compare their performance on this dataset. The study suggests that, while BM25 is a strong benchmark for the legal citation recommendation task, the most effective method involves implementing a two-step process that entails pre-fetching with BM25+, followed by re-ranking with SciNCL, which enhances the performance of the baseline from 0.26 to 0.30 MAP@10. Moreover, fine-tuning leads to considerable performance increases in pre-trained models, which shows the importance of including legal articles in the training data of these models.Comment: Seventeenth International Workshop on Juris-informatics (JURISIN 2023

XML content warehousing: Improving sociological studies of mailing lists and web data

In this paper, we present the guidelines for an XML-based approach for the sociological study of Web data such as the analysis of mailing lists or databases available online. The use of an XML warehouse is a flexible solution for storing and processing this kind of data. We propose an implemented solution and show possible applications with our case study of profiles of experts involved in W3C standard-setting activity. We illustrate the sociological use of semi-structured databases by presenting our XML Schema for mailing-list warehousing. An XML Schema allows many adjunctions or crossings of data sources, without modifying existing data sets, while allowing possible structural evolution. We also show that the existence of hidden data implies increased complexity for traditional SQL users. XML content warehousing allows altogether exhaustive warehousing and recursive queries through contents, with far less dependence on the initial storage. We finally present the possibility of exporting the data stored in the warehouse to commonly-used advanced software devoted to sociological analysis

UNH School of Law IP Library: 20th Anniversary Reflection on the Only Academic IP Library in the United States

[Excerpt] The UNH School of Law Intellectual Property Library celebrates its twentieth anniversary this year. It is a fortuitous time for this look back and for strategic considerations for the future. This anniversary comes at a time in the history of legal education when conditions over the past few years have intensified the analysis of mission and resources for law school libraries. This article is a retrospective review of the history and dynamics surrounding the founding and first twenty years of growth. It is also an analysis of the future growth and mission of the IP Library during times that demand more strategic vision, taking into consideration the explosion of information, formats, scope of intellectual property (IP) and allied areas of practice, competitor IP programs at other U.S. law schools, and greater scrutiny of expenses of U.S. law school libraries generally

The Montreal Declaration on Free Access to Law (MDFAL) of 2002: A Weak Reed for Global Realization of the Right to Access Legal Information

The beginning of 2000 witnessed emergence of global campaigns for realization of the right to access legal information. The campaigns were initiated by activists of the Free Access to Law Movements (FALM). In order to make the campaigns more formal the FALM drafted the Montreal Declaration on Free Access to Law (MDFAL) of 2002. Although the principles of the MDFAL of 2002 are good it suffers from a sort of ‘birth defect’ problems, one of which being the fact that the MDFAL of 2002 is not in the realm of international law. One can only assume that if the MDFAL of 2002 was in the realm of international law, realization of its principles would be more realistic than it is now. The aim of this article is to provide a critique of the MDFAL of 2002 which makes realization of the right to access legal information illusive. Keywords: Free Access to Legal Information, Legal information, Legal information  institutes, Montreal Declaration on Free Access to Law DOI: 10.7176/JLPG/105-09 Publication date: January 31st 202

Scientific names of organisms : attribution, rights, and licensing

© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in BMC Research Notes 7 (2014): 79, doi:10.1186/1756-0500-7-79.As biological disciplines extend into the ‘big data’ world, they will need a names-based infrastructure to index and interconnect distributed data. The infrastructure must have access to all names of all organisms if it is to manage all information. Those who compile lists of species hold different views as to the intellectual property rights that apply to the lists. This creates uncertainty that impedes the development of a much-needed infrastructure for sharing biological data in the digital world. The laws in the United States of America and European Union are consistent with the position that scientific names of organisms and their compilation in checklists, classifications or taxonomic revisions are not subject to copyright. Compilations of names, such as classifications or checklists, are not creative in the sense of copyright law. Many content providers desire credit for their efforts. A ‘blue list’ identifies elements of checklists, classifications and monographs to which intellectual property rights do not apply. To promote sharing, authors of taxonomic content, compilers, intermediaries, and aggregators should receive citable recognition for their contributions, with the greatest recognition being given to the originating authors. Mechanisms for achieving this are discussed

Scientific names of organisms: attribution, rights, and licensing

abstract: Background As biological disciplines extend into the ‘big data’ world, they will need a names-based infrastructure to index and interconnect distributed data. The infrastructure must have access to all names of all organisms if it is to manage all information. Those who compile lists of species hold different views as to the intellectual property rights that apply to the lists. This creates uncertainty that impedes the development of a much-needed infrastructure for sharing biological data in the digital world. Findings The laws in the United States of America and European Union are consistent with the position that scientific names of organisms and their compilation in checklists, classifications or taxonomic revisions are not subject to copyright. Compilations of names, such as classifications or checklists, are not creative in the sense of copyright law. Many content providers desire credit for their efforts. Conclusions A ‘blue list’ identifies elements of checklists, classifications and monographs to which intellectual property rights do not apply. To promote sharing, authors of taxonomic content, compilers, intermediaries, and aggregators should receive citable recognition for their contributions, with the greatest recognition being given to the originating authors. Mechanisms for achieving this are discussed.The electronic version of this article is the complete one and can be found online at: http://bmcresnotes.biomedcentral.com/articles/10.1186/1756-0500-7-7