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NTIS 바로가기정보처리학회논문지. KIPS transactions on software and data engineering. 소프트웨어 및 데이터 공학, v.11 no.2, 2022년, pp.93 - 100
김성원 (한국과학기술원 지식서비스공학대학원) , 박광렬 (인하대학교 법학전문대학원)
Keyword-oriented search methods are mainly used as data search methods, but this is not suitable as a search method in the legal field where professional terms are widely used. In response, this paper proposes an effective data search method in the legal field. We describe embedding methods optimize...
J. Devlin, M. W. Chang, K. Lee, and K. Toutanova, "Bert: Pre-training of deep bidirectional transformers for language understanding," arXiv preprint arXiv:1810.04805, 2018.
J. Ramos, "Using tf-idf to determine word relevance in document queries," In Proceedings of the First Instructional Conference on Machine Learning, Vol.242, No.1, pp.29-48, 2003.
Cer, D. et al., "Universal sentence encoder," arXiv preprint arXiv:1803.11175, 2018.
A. Radford, K. Narasimhan, T. Salimans, and I. Sutskever, "Improving language understanding by generative pretraining," 2018.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, "Language models are unsupervised multitask learners," OpenAI Blog, Vol.1, No.8, pp.9, 2019.
T. B. Brown, et al., "Language models are few-shot learners," arXiv preprint arXiv:2005.14165, 2020.
M. E. Peters, et al., "Deep contextualized word representations," arXiv preprint arXiv:1802.05365, 2018
T. M. Mitchell, "Bayesian Learning," Machine Learning, McGraw-Hill, pp.154-200, 1997.
H. Zhong, C. Xiao, C. Tu, T. Zhang, Z. Liu, and M. Sun, "How Does NLP benefit legal system: A summary of legal artificial intelligence," arXiv: 2004.12158, 2020.
A. Joulin, E. Grave, P. Bojanowski, M. Douze, H. Jegou, and T. Mikolov, "Fasttext. zip: Compressing text classification models," arXiv preprint arXiv:1612.03651, 2016.
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer, "Deep contextualized word representations," arXiv preprint arXiv:1802.05365, 2018.
J. Pennington, R. Socher, and C. D. Manning. "Glove: Global vectors for word representation," In Proceedings of Empirical Methods in Natural Language Processing, pp.1532-1543, 2014.
J. Devlin, M. W. Chang, K. Lee, and K. Toutanova, "BERT: Pre-training of deep bidirectional transformers for language understanding," In Proceedings of Northern American Chapter of the Association for Computational Linguistics, 2019.
A. Akbik, T. Bergmann, and R. Vollgraf, "Pooled contextualized embeddings for namedentity recognition," In Proceedings of Northern American Chapter of the Association for Computational Linguistics, 2019.
"판결문 공개 과감히 확대하라," 법률신문, 2019.10.28. [Internet], https://m.lawtimes.co.kr/Content/Article?serial156740
"법률 지식 베이스 소개" AI허브, 2018.01.02. [Internet], https://aihub.or.kr/aidata/29
"법제처 보도자료," pp.4-5, 2021.12.29.
J. Pennington, R. Socher, and C. D. Manning, "Glove: Global vectors for word representation," In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing(EMNLP), pp.1532-1543, 2014.
A. Vaswani, et al., "Attention is all you need," In Proceedings of Neural Information Processing Systems, 2017.
M. Iyyer, V. Manjunatha, J. Boyd-Graber, and H. Daume III. "Deep unordered composition rivals syntactic methods for text classification," In Proceedings of Association for Computational Linguistics and the International Joint Conference on Natural Language Processing, 2015.
Y. Yang, et al., "Multilingual universal sentence encoder for semantic retrieval," arXiv preprint arXiv:1907.04307, 2019.
"universal-sentence-encoder-multilingual," TensorFlow hub. last modified Jan 05, 2022. accessed Oct. 21, 2021. [Internet], https://tfhub.dev/google/universal-sentence-encoder-multilingual/3
"mecab-ko-dic," bitbucket. last modified Jul. 20, 2018. accessed Oct. 21, 2021. [Internet], https://bitbucket.org/eunjeon/mecab-ko-dic/src/master/
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