Bibliometric-Enhanced Legal Information Retrieval

Wiggers, Gineke

doi:10.1007/978-3-030-45442-5_83

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…Boolean and natural language 5.1 [32,41,115] Conceptual search and case-based retrieval 5.2 [77,118] Question answering 5.3 [35,88] Query expansion 5.4 [15,30,100] Query reduction 5.5 [70][71][72] Search Result Diversification 5.6 [61] Use of citation networks 5.7 [92,126] Deeper understanding of texts 5.8 [19,43,85,106] Table 3. Summary of methods and main works examined in this survey that comprise these methods.…”

Section: Methods Section Main Work Examinedmentioning

confidence: 99%

“…These works were conducted internally at Westlaw on their commercial systems and using the benefit of their extensive user logs and data. It is pertinent to note the use of query expansion in many major commercial legal search systems [126]. Such use appears common place.…”

Section: Query Expansionmentioning

confidence: 99%

“…(i) the creation of visual tools for mapping citation networks; (ii) suggestions that citations are a useful ranking feature [126]; and (iii) findings that legal citation networks exhibit similarities as compared to other networks [38] that have been used to rank results of search systems, citation networks have only been applied to ranking documents for case law retrieval in two instances.…”

Section: Daniel Locke and Guido Zucconmentioning

confidence: 99%

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Case law retrieval: problems, methods, challenges and evaluations in the last 20 years

Locke¹,

Zuccon²

2022

Preprint

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Case law retrieval is the retrieval of judicial decisions relevant to a legal question. Case law retrieval comprises a significant amount of a lawyer's time, and is important to ensure accurate advice and reduce workload. We survey methods for case law retrieval from the past 20 years and outline the problems and challenges facing evaluation of case law retrieval systems going forward. Limited published work has focused on improving ranking in ad-hoc case law retrieval. But there has been significant work in other areas of case law retrieval, and legal information retrieval generally. This is likely due to legal search providers being unwilling to give up the secrets of their success to competitors. Most evaluations of case law retrieval have been undertaken on small collections and focus on related tasks such as question-answer systems or recommender systems. Work has not focused on Cranfield style evaluations and baselines of methods for case law retrieval on publicly available test collections are not present. This presents a major challenge going forward. But there are reasons to question the extent of this problem, at least in a commercial setting. Without test collections to baseline approaches it cannot be known whether methods are promising. Works by commercial legal search providers show the effectiveness of natural language systems as well as query expansion for case law retrieval. Machine learning is being applied to more and more legal search tasks, and undoubtedly this represents the future of case law retrieval.

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Section: Methods Section Main Work Examinedmentioning

confidence: 99%

Section: Query Expansionmentioning

confidence: 99%

Section: Daniel Locke and Guido Zucconmentioning

confidence: 99%

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Case law retrieval: problems, methods, challenges and evaluations in the last 20 years

Locke¹,

Zuccon²

2022

Preprint

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“…-A searchable space with routes for querying scientific information [29] -Discovering seminal works with marker papers [30] -How do computer scientists use Google Scholar? : A survey of user interest in elements on SERPs and author profile pages [31] -Feature selection and graph representation for an analysis of science fields evolution: An application to the digital library ISTEX [32] -Optimal citation con-text window sizes for biomedical retrieval [33] -Bibliometric-enhanced arXiv: A data set for paper-based and citation-based tasks [34] -Mining intellectual influence associations [35] -Citation metrics for legal information retrieval systems [36] • Short papers:…”

Section: Objectives and Topics For Bir@ecir 2019mentioning

confidence: 99%

Report on the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)

Cabanac¹,

Frommholz²,

Mayr³

2019

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The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeer χ , Doc-Ear) and the industry (e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar). This report presents the 8th iteration of the one-day BIR workshop held at ECIR 2019 in

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Bibliometric-Enhanced Legal Information Retrieval

Cited by 2 publications

References 15 publications

Case law retrieval: problems, methods, challenges and evaluations in the last 20 years

Case law retrieval: problems, methods, challenges and evaluations in the last 20 years

Report on the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)

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