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@proceedings{1810026,
author = {Novotná, Tereza},
booktitle = {34th International Conference on Legal Knowledge and Information Systems},
language = {eng},
title = {Human Evaluation Experiment of Legal Information Retrieval Methods},
url = {https://jurix2021.mruni.eu/},
year = {2021}
}
TY - CONF
ID - 1810026
AU - Novotná, Tereza
PY - 2021
TI - Human Evaluation Experiment of Legal Information Retrieval Methods
UR - https://jurix2021.mruni.eu/
N2 - 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.
ER -
NOVOTNÁ, Tereza. Human Evaluation Experiment of Legal Information Retrieval Methods. In \textit{34th International Conference on Legal Knowledge and Information Systems}. 2021.
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