Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance

Masha Medvedeva; Thijmen Dam; Martijn Wieling; Michel Vols

doi:10.3233/FAIA210312

Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance

Masha Medvedeva^*, Thijmen Dam, Martijn Wieling, Michel Vols

^*Corresponding author for this work

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

4 Citations (Scopus)

91 Downloads (Pure)

Abstract

In this paper we attempt to identify eviction judgements within all case law published by Dutch courts in order to automate data collection, previously conducted manually. To do so we performed two experiments. The first focused on identifying judgements related to eviction, while the second focused on identifying the outcome of the cases in the judgements (eviction vs. dismissal of the landlord’s claim). In the process of conducting the experiments for this study, we have created a manually annotated dataset with eviction-related judgements and their outcomes.

Original language	English
Title of host publication	Legal Knowledge and Information Systems
Editors	Erich Schweighofer
Publisher	IOS Press
Pages	13-22
Number of pages	10
ISBN (Electronic)	978-1-64368-253-2
ISBN (Print)	978-1-64368-252-5
DOIs	https://doi.org/10.3233/FAIA210312
Publication status	Published - 2021
Event	JURIX 2021: The Thirty-fourth Annual Conference - Vilnius, Lithuania Duration: 8-Dec-2021 → 10-Dec-2021

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press
Volume	346
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	JURIX 2021: The Thirty-fourth Annual Conference
Country/Territory	Lithuania
City	Vilnius
Period	08/12/2021 → 10/12/2021

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10.3233/FAIA210312Licence: CC BY-NC

FAIA-346-FAIA210312Final publisher's version, 234 KBLicence: 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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Cite this

@inproceedings{e9bf5727d0fa4c0281b8dc16a95c1bd0,

title = "Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance",

abstract = "In this paper we attempt to identify eviction judgements within all case law published by Dutch courts in order to automate data collection, previously conducted manually. To do so we performed two experiments. The first focused on identifying judgements related to eviction, while the second focused on identifying the outcome of the cases in the judgements (eviction vs. dismissal of the landlord{\textquoteright}s claim). In the process of conducting the experiments for this study, we have created a manually annotated dataset with eviction-related judgements and their outcomes.",

author = "Masha Medvedeva and Thijmen Dam and Martijn Wieling and Michel Vols",

year = "2021",

doi = "10.3233/FAIA210312",

language = "English",

isbn = "978-1-64368-252-5",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "13--22",

editor = "Erich Schweighofer",

booktitle = "Legal Knowledge and Information Systems",

note = "JURIX 2021: The Thirty-fourth Annual Conference ; Conference date: 08-12-2021 Through 10-12-2021",

}

Medvedeva, M, Dam, T, Wieling, M & Vols, M 2021, Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance. in E Schweighofer (ed.), Legal Knowledge and Information Systems. Frontiers in Artificial Intelligence and Applications, vol. 346, IOS Press, pp. 13-22, JURIX 2021: The Thirty-fourth Annual Conference, Vilnius, Lithuania, 08/12/2021. https://doi.org/10.3233/FAIA210312

Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance. / Medvedeva, Masha; Dam, Thijmen; Wieling, Martijn et al.
Legal Knowledge and Information Systems. ed. / Erich Schweighofer. IOS Press, 2021. p. 13-22 (Frontiers in Artificial Intelligence and Applications; Vol. 346).

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

TY - GEN

T1 - Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance

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AU - Dam, Thijmen

AU - Wieling, Martijn

AU - Vols, Michel

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N2 - In this paper we attempt to identify eviction judgements within all case law published by Dutch courts in order to automate data collection, previously conducted manually. To do so we performed two experiments. The first focused on identifying judgements related to eviction, while the second focused on identifying the outcome of the cases in the judgements (eviction vs. dismissal of the landlord’s claim). In the process of conducting the experiments for this study, we have created a manually annotated dataset with eviction-related judgements and their outcomes.

AB - In this paper we attempt to identify eviction judgements within all case law published by Dutch courts in order to automate data collection, previously conducted manually. To do so we performed two experiments. The first focused on identifying judgements related to eviction, while the second focused on identifying the outcome of the cases in the judgements (eviction vs. dismissal of the landlord’s claim). In the process of conducting the experiments for this study, we have created a manually annotated dataset with eviction-related judgements and their outcomes.

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DO - 10.3233/FAIA210312

M3 - Conference contribution

SN - 978-1-64368-252-5

T3 - Frontiers in Artificial Intelligence and Applications

SP - 13

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BT - Legal Knowledge and Information Systems

A2 - Schweighofer, Erich

PB - IOS Press

T2 - JURIX 2021: The Thirty-fourth Annual Conference

Y2 - 8 December 2021 through 10 December 2021

ER -

Automatically identifying eviction cases and outcomes within case law of Dutch Courts of First Instance

Abstract

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Projects

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

Cite this