k 2021

Human Evaluation Experiment of Legal Information Retrieval Methods

NOVOTNÁ, Tereza

Basic information

Original name

Human Evaluation Experiment of Legal Information Retrieval Methods

Authors

Edition

34th International Conference on Legal Knowledge and Information Systems, 2021

Other information

Language

English

Type of outcome

Prezentace na konferencích

Field of Study

50501 Law

Country of publisher

Lithuania

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Organization unit

Faculty of Law

Tags

International impact, Reviewed
Změněno: 14/12/2021 13:35, Mgr. Tereza Novotná, Ph.D.

Abstract

V originále

In this article, I present the results of the human evaluation experiment of three commonly used methods in legal information retrieval and a new ”multilayered” approach. I use the doc2vec model, citation network analysis and two topic modelling algorithms for the Czech Supreme Court decisions retrieval and evaluate their performance. To improve the accuracy of the results of these methods, I combine the methods in a ”multilayered” way and perform the subsequent evaluation. Both evaluation experiments are conducted with a group of legal experts to assess the applicability and usability of the methods for legal information retrieval. The combination of the doc2vec and citations is found satisfactory accurate for practical use for the Czech court decisions retrieval.

Links

CZ.02.2.69/0.0/0.0/19_073/0016943, interní kód MU
(CEP code: EF19_073/0016943)
Name: Interní grantová agentura Masarykovy univerzity (Acronym: IGA MU)
Investor: Ministry of Education, Youth and Sports of the CR, Priority axis 2: Development of universities and human resources for research and development