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@article{1670497, author = {Novotná, Tereza}, article_location = {Brno}, article_number = {1}, doi = {http://dx.doi.org/10.5817/MUJLT2020-1-5}, keywords = {Automatic Court Decisions Processing; Cosine Similarity; Czech Supreme Court; Document Semantic Similarity; Doc2Vec}, language = {eng}, issn = {1802-5943}, journal = {Masaryk University Journal of Law and Technology}, title = {Document Similarity of Czech Supreme Court decisions}, url = {https://journals.muni.cz/mujlt/article/view/12950}, volume = {14}, year = {2020} }
TY - JOUR ID - 1670497 AU - Novotná, Tereza PY - 2020 TI - Document Similarity of Czech Supreme Court decisions JF - Masaryk University Journal of Law and Technology VL - 14 IS - 1 SP - 105 - 122 EP - 105 - 122 SN - 18025943 KW - Automatic Court Decisions Processing KW - Cosine Similarity KW - Czech Supreme Court KW - Document Semantic Similarity KW - Doc2Vec UR - https://journals.muni.cz/mujlt/article/view/12950 N2 - Retrieval of court decisions dealing with a similar legal matter is a prevalent task performed by lawyers as it is a part of a relevant decision-making practice review. In spite of the natural language processing methods that are currently available, this legal research is still mostly done through Boolean searches or by contextual retrieval. In this study, it is experimentally verified whether the doc2vec method together with cosine similarity, can automatically retrieve the Czech Supreme Court decisions dealing with a similar legal issue as a given decision. Furthermore, the limits and challenges of these methods and its application on the Czech Supreme Court decisions are discussed. ER -
NOVOTNÁ, Tereza. Document Similarity of Czech Supreme Court decisions. \textit{Masaryk University Journal of Law and Technology}. Brno, 2020, vol.~14, No~1, p.~105 - 122. ISSN~1802-5943. Available from: https://dx.doi.org/10.5817/MUJLT2020-1-5.
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