In this paper, we propose a legal document search method that uses the Sentence-BERT model. The general public who wants to use the legal search service has difficulty searching for relevant precedents due to a lack of understanding of legal terms and structures. In addition, the existing keyword and text mining-based legal search methods have their limits in yielding quality search results for two reasons: they lack information on the context of the judgment, and they fail to discern homonyms and polysemies. As a result, the accuracy of the legal document search results is often unsatisfactory or skeptical. To this end, This paper aims to improve the efficacy of the general public's legal search in the Supreme Court precedent and Legal Aid Counseling case database. The Sentence-BERT model embeds contextual information on precedents and counseling data, which better preserves the integrity of relevant meaning in phrases or sentences. Our initial research has shown that the Sentence-BERT search method yields higher accuracy than the Doc2Vec or TF-IDF search methods.
@article{ART002899676}, author={Gil-sik Park and Kim, Juntae}, title={Legal search method using S-BERT}, journal={Journal of The Korea Society of Computer and Information}, issn={1598-849X}, year={2022}, volume={27}, number={11}, pages={57-66}, doi={10.9708/jksci.2022.27.11.057}
TY - JOUR AU - Gil-sik Park AU - Kim, Juntae TI - Legal search method using S-BERT JO - Journal of The Korea Society of Computer and Information PY - 2022 VL - 27 IS - 11 PB - The Korean Society Of Computer And Information SP - 57 EP - 66 SN - 1598-849X AB - In this paper, we propose a legal document search method that uses the Sentence-BERT model. The general public who wants to use the legal search service has difficulty searching for relevant precedents due to a lack of understanding of legal terms and structures. In addition, the existing keyword and text mining-based legal search methods have their limits in yielding quality search results for two reasons: they lack information on the context of the judgment, and they fail to discern homonyms and polysemies. As a result, the accuracy of the legal document search results is often unsatisfactory or skeptical. To this end, This paper aims to improve the efficacy of the general public's legal search in the Supreme Court precedent and Legal Aid Counseling case database. The Sentence-BERT model embeds contextual information on precedents and counseling data, which better preserves the integrity of relevant meaning in phrases or sentences. Our initial research has shown that the Sentence-BERT search method yields higher accuracy than the Doc2Vec or TF-IDF search methods. KW - Legal Service;Machine Learning;Deep Learning;BERT;Data Mining DO - 10.9708/jksci.2022.27.11.057 ER -
Gil-sik Park and Kim, Juntae. (2022). Legal search method using S-BERT. Journal of The Korea Society of Computer and Information, 27(11), 57-66.
Gil-sik Park and Kim, Juntae. 2022, "Legal search method using S-BERT", Journal of The Korea Society of Computer and Information, vol.27, no.11 pp.57-66. Available from: doi:10.9708/jksci.2022.27.11.057
Gil-sik Park, Kim, Juntae "Legal search method using S-BERT" Journal of The Korea Society of Computer and Information 27.11 pp.57-66 (2022) : 57.
Gil-sik Park, Kim, Juntae. Legal search method using S-BERT. 2022; 27(11), 57-66. Available from: doi:10.9708/jksci.2022.27.11.057
Gil-sik Park and Kim, Juntae. "Legal search method using S-BERT" Journal of The Korea Society of Computer and Information 27, no.11 (2022) : 57-66.doi: 10.9708/jksci.2022.27.11.057
Gil-sik Park; Kim, Juntae. Legal search method using S-BERT. Journal of The Korea Society of Computer and Information, 27(11), 57-66. doi: 10.9708/jksci.2022.27.11.057
Gil-sik Park; Kim, Juntae. Legal search method using S-BERT. Journal of The Korea Society of Computer and Information. 2022; 27(11) 57-66. doi: 10.9708/jksci.2022.27.11.057
Gil-sik Park, Kim, Juntae. Legal search method using S-BERT. 2022; 27(11), 57-66. Available from: doi:10.9708/jksci.2022.27.11.057
Gil-sik Park and Kim, Juntae. "Legal search method using S-BERT" Journal of The Korea Society of Computer and Information 27, no.11 (2022) : 57-66.doi: 10.9708/jksci.2022.27.11.057