Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Identification of Case Content with Quantitative Network Analysis : An Example from the ECtHR. / Christensen, Martin Lolle; Olsen, Henrik Palmer; Tarissan, Fabian.

Legal Knowledge and Information Systems. ed. / Floris Bex; Serena Villata. Amsterdam : IOS Press, 2016. p. 53-62.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Christensen, ML, Olsen, HP & Tarissan, F 2016, Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR. in F Bex & S Villata (eds), Legal Knowledge and Information Systems. IOS Press, Amsterdam, pp. 53-62, JURIX, Valbonne, France, 14/12/2016. https://doi.org/10.3233/978-1-61499-726-9-53

APA

Christensen, M. L., Olsen, H. P., & Tarissan, F. (2016). Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR. In F. Bex, & S. Villata (Eds.), Legal Knowledge and Information Systems (pp. 53-62). IOS Press. https://doi.org/10.3233/978-1-61499-726-9-53

Vancouver

Christensen ML, Olsen HP, Tarissan F. Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR. In Bex F, Villata S, editors, Legal Knowledge and Information Systems. Amsterdam: IOS Press. 2016. p. 53-62 https://doi.org/10.3233/978-1-61499-726-9-53

Author

Christensen, Martin Lolle ; Olsen, Henrik Palmer ; Tarissan, Fabian. / Identification of Case Content with Quantitative Network Analysis : An Example from the ECtHR. Legal Knowledge and Information Systems. editor / Floris Bex ; Serena Villata. Amsterdam : IOS Press, 2016. pp. 53-62

Bibtex

@inproceedings{340399668ca94f079e1c22a2ed497bbd,
title = "Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR",
abstract = "What is a case decided by the European Court of Human Rights about? The Courts own case database, HUDOC, lists all the articles mentioned in a specific case in their metadata. They also supply a number of keywords, but these keywords for the most part are reduced to repeating phrases from the relevant articles. In order to enhance information retrieval about case content, without relying on manual labor and subjective judgment, we propose in this paper a quantitative method that gives a better indication of case content in terms of which articles a given case is more closely associated with. To do so, we rely on the network structure induced by existing case-to-case and case-to-article citations and propose two computational approaches (referred to as MAININ and MAINOUT) which result in assigning one representative article to each case. We validate the approach by selecting a sample of important cases and comparing manual investigation of real content of those cases with the MAININ and MAINOUT articles. Results show that MAININ in particular is able to infer correctly the real content in most of the cases.",
author = "Christensen, {Martin Lolle} and Olsen, {Henrik Palmer} and Fabian Tarissan",
year = "2016",
doi = "10.3233/978-1-61499-726-9-53",
language = "English",
isbn = "978-1-61499-725-2",
pages = "53--62",
editor = "Floris Bex and Serena Villata",
booktitle = "Legal Knowledge and Information Systems",
publisher = "IOS Press",
address = "United States",
note = "null ; Conference date: 14-12-2016 Through 16-12-2016",
url = "http://jurix2016.unice.fr/",

}

RIS

TY - GEN

T1 - Identification of Case Content with Quantitative Network Analysis

AU - Christensen, Martin Lolle

AU - Olsen, Henrik Palmer

AU - Tarissan, Fabian

N1 - Conference code: XXIX

PY - 2016

Y1 - 2016

N2 - What is a case decided by the European Court of Human Rights about? The Courts own case database, HUDOC, lists all the articles mentioned in a specific case in their metadata. They also supply a number of keywords, but these keywords for the most part are reduced to repeating phrases from the relevant articles. In order to enhance information retrieval about case content, without relying on manual labor and subjective judgment, we propose in this paper a quantitative method that gives a better indication of case content in terms of which articles a given case is more closely associated with. To do so, we rely on the network structure induced by existing case-to-case and case-to-article citations and propose two computational approaches (referred to as MAININ and MAINOUT) which result in assigning one representative article to each case. We validate the approach by selecting a sample of important cases and comparing manual investigation of real content of those cases with the MAININ and MAINOUT articles. Results show that MAININ in particular is able to infer correctly the real content in most of the cases.

AB - What is a case decided by the European Court of Human Rights about? The Courts own case database, HUDOC, lists all the articles mentioned in a specific case in their metadata. They also supply a number of keywords, but these keywords for the most part are reduced to repeating phrases from the relevant articles. In order to enhance information retrieval about case content, without relying on manual labor and subjective judgment, we propose in this paper a quantitative method that gives a better indication of case content in terms of which articles a given case is more closely associated with. To do so, we rely on the network structure induced by existing case-to-case and case-to-article citations and propose two computational approaches (referred to as MAININ and MAINOUT) which result in assigning one representative article to each case. We validate the approach by selecting a sample of important cases and comparing manual investigation of real content of those cases with the MAININ and MAINOUT articles. Results show that MAININ in particular is able to infer correctly the real content in most of the cases.

U2 - 10.3233/978-1-61499-726-9-53

DO - 10.3233/978-1-61499-726-9-53

M3 - Article in proceedings

SN - 978-1-61499-725-2

SP - 53

EP - 62

BT - Legal Knowledge and Information Systems

A2 - Bex, Floris

A2 - Villata, Serena

PB - IOS Press

CY - Amsterdam

Y2 - 14 December 2016 through 16 December 2016

ER -

ID: 170337685