JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights

Masha Medvedeva; Xiao Xu; Martijn Wieling; Michel Vols

doi:10.3233/FAIA200883

JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights

Masha Medvedeva^*, Xiao Xu, Martijn Wieling, Michel Vols

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 Citations (Scopus)

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Abstract

In this paper we present the web platform JURI SAYS that automatically predicts decisions of the European Court of Human Rights based on communicated cases, which are published by the court early in the proceedings and are often available many years before the final decision is made. Our system therefore predicts future judgements of the court. The platform is available at jurisays.com and shows the predictions compared to the actual decisions of the court. It is automatically updated every month by including the prediction for the new cases. Additionally, the system highlights the sentences and paragraphs that are most important for the prediction (i.e. violation vs. no violation of human rights).

Original language	English
Title of host publication	Legal Knowledge and Information Systems
Subtitle of host publication	JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020
Editors	Serena Villata, Jakub Harašta, Petr Křemen
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	277-280
Number of pages	4
ISBN (Electronic)	978-1-64368-151-1
ISBN (Print)	978-1-64368-150-4
DOIs	https://doi.org/10.3233/FAIA200883
Publication status	Published - 1-Dec-2020

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	334
ISSN (Print)	0922-6389

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10.3233/FAIA200883

Medvedeva-et-alFinal publisher's version, 7.83 MBLicence: CC BY-NC

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EVICT : The Impact of the International Right to Housing on National Legal Discourse: Using Data Science Techniques to Analyse Eviction Litigation
Vols, M. (PI), Wieling, M. (Researcher), Bruijn, M. (Postdoc), Hoops, B. (CoPI), Roorda, B. (Member), Mohammadi, M. (Postdoc), Quintiá Pastrana, A. (Postdoc), Whitehouse, L. (Advisor), Schmid, C. (Advisor), van Dijck, G. (Advisor), Arts, K. (Advisor), Prakken, H. (Advisor), de Vries, J. (Advisor) & Zauner-Lohmeyer, K. (Advisor)
01/01/2021 → …
Project: Research

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Medvedeva, M., Xu, X., Wieling, M., & Vols, M. (2020). JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. In S. Villata, J. Harašta, & P. Křemen (Eds.), Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020 (pp. 277-280). (Frontiers in Artificial Intelligence and Applications; Vol. 334). IOS Press. https://doi.org/10.3233/FAIA200883

Medvedeva, Masha ; Xu, Xiao ; Wieling, Martijn et al. / JURI SAYS : An Automatic Judgement Prediction System for the European Court of Human Rights. Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020 . editor / Serena Villata ; Jakub Harašta ; Petr Křemen. Amsterdam : IOS Press, 2020. pp. 277-280 (Frontiers in Artificial Intelligence and Applications).

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title = "JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights",

abstract = "In this paper we present the web platform JURI SAYS that automatically predicts decisions of the European Court of Human Rights based on communicated cases, which are published by the court early in the proceedings and are often available many years before the final decision is made. Our system therefore predicts future judgements of the court. The platform is available at jurisays.com and shows the predictions compared to the actual decisions of the court. It is automatically updated every month by including the prediction for the new cases. Additionally, the system highlights the sentences and paragraphs that are most important for the prediction (i.e. violation vs. no violation of human rights).",

author = "Masha Medvedeva and Xiao Xu and Martijn Wieling and Michel Vols",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors, Faculty of Law, Masaryk University and IOS Press.",

year = "2020",

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Medvedeva, M, Xu, X, Wieling, M & Vols, M 2020, JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. in S Villata, J Harašta & P Křemen (eds), Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020 . Frontiers in Artificial Intelligence and Applications, vol. 334, IOS Press, Amsterdam, pp. 277-280. https://doi.org/10.3233/FAIA200883

JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. / Medvedeva, Masha; Xu, Xiao; Wieling, Martijn et al.
Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020 . ed. / Serena Villata; Jakub Harašta; Petr Křemen. Amsterdam: IOS Press, 2020. p. 277-280 (Frontiers in Artificial Intelligence and Applications; Vol. 334).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - JURI SAYS

T2 - An Automatic Judgement Prediction System for the European Court of Human Rights

AU - Medvedeva, Masha

AU - Xu, Xiao

AU - Wieling, Martijn

AU - Vols, Michel

PY - 2020/12/1

Y1 - 2020/12/1

N2 - In this paper we present the web platform JURI SAYS that automatically predicts decisions of the European Court of Human Rights based on communicated cases, which are published by the court early in the proceedings and are often available many years before the final decision is made. Our system therefore predicts future judgements of the court. The platform is available at jurisays.com and shows the predictions compared to the actual decisions of the court. It is automatically updated every month by including the prediction for the new cases. Additionally, the system highlights the sentences and paragraphs that are most important for the prediction (i.e. violation vs. no violation of human rights).

AB - In this paper we present the web platform JURI SAYS that automatically predicts decisions of the European Court of Human Rights based on communicated cases, which are published by the court early in the proceedings and are often available many years before the final decision is made. Our system therefore predicts future judgements of the court. The platform is available at jurisays.com and shows the predictions compared to the actual decisions of the court. It is automatically updated every month by including the prediction for the new cases. Additionally, the system highlights the sentences and paragraphs that are most important for the prediction (i.e. violation vs. no violation of human rights).

U2 - 10.3233/FAIA200883

DO - 10.3233/FAIA200883

M3 - Conference contribution

SN - 978-1-64368-150-4

T3 - Frontiers in Artificial Intelligence and Applications

SP - 277

EP - 280

BT - Legal Knowledge and Information Systems

A2 - Villata, Serena

A2 - Harašta, Jakub

A2 - Křemen, Petr

PB - IOS Press

CY - Amsterdam

ER -

Medvedeva M, Xu X, Wieling M , Vols M. JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. In Villata S, Harašta J, Křemen P, editors, Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020 . Amsterdam: IOS Press. 2020. p. 277-280. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA200883

JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights

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EVICT : The Impact of the International Right to Housing on National Legal Discourse: Using Data Science Techniques to Analyse Eviction Litigation

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