NOVOTNÁ, Tereza. Human Evaluation Experiment of Legal Information Retrieval Methods. In 34th International Conference on Legal Knowledge and Information Systems. 2021.
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Basic information
Original name Human Evaluation Experiment of Legal Information Retrieval Methods
Authors NOVOTNÁ, Tereza.
Edition 34th International Conference on Legal Knowledge and Information Systems, 2021.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 50501 Law
Country of publisher Lithuania
Confidentiality degree is not subject to a state or trade secret
WWW Konference
Organization unit Faculty of Law
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Novotná, Ph.D., učo 421694. Changed: 14/12/2021 13:35.
Abstract
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
PrintDisplayed: 3/5/2024 15:57