2023 Fiscal Year Research-status Report
Research on analyzing Mongolian legal documents using deep learning
| Project/Area Number |
21K12600
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
美龍 硬幸 立命館大学, 総合科学技術研究機構, プロジェクト研究員 (30725396)
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| Project Period (FY) |
2021-04-01 – 2025-03-31
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| Keywords | deep learning / legal documents / text classification / Mongolian |
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| Outline of Annual Research Achievements |
In the FY2023, the following tasks have been performed: 1) collecting and preparing datasets, 2) proposing deep learning models for Mongolian legal documents and, 3) enhancing the web-based system.
Regarding the datasets, a natural language interface (NLI) dataset was prepared manually by selecting 829 questions related to Mongolian civil law from the Mongolian bar exam questions. We also proposed deep-learning-based models for recognizing textual inference in the Mongolian language and experiments were conducted.
Moreover, in the FY2023, based on the research results obtained in the past, we enhanced our web-based system to integrate for recognizing textual inference in the Mongolian legal documents.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Our research has been conducted according to the research plan. As planned, the achievements in the FY2023 allowed advancing my research towards to the research goal in developing a deep-learning-based method to analyze Mongolian legal documents. Surveys were conducted in Mongolia, as well as feedback and data were obtained through business trips. Research results and achievements have been published in two international journal articles.
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| Strategy for Future Research Activity |
In the FY2024, business trips for 1) conducting evaluations among overseas users, and 2) obtaining analyses and feedbacks will also be conducted.
We are also planning to perform evaluations by several experts at the National University of Mongolia and Ritsumeikan University in Japan. Feedback from the researchers will be received in a timely manner. Users’ evaluation will also be conducted by experts and users. Further improvements of the method will be carried based on the evaluation results and user feedback.
Research assistance of experts and students are necessary on a part-time basis to 1) evaluate the proposed system 2) conduct experiments, and 3) analyze the experimental results.
Feedback from the researchers will be received in a timely manner. Further improvements of the system will be carried out based on the evaluation results and user feedbacks.
Methods and contents that have no copyright issues will be available freely to the public on the Internet during the FY2023-FY2024.
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| Causes of Carryover |
The remaining budget have occurred due to the leftover of the FY2020 such as restrictions and bans of the COVID-19. I will use the remaining budget for next years’ research activities that requires more budgets. These activities include 1) to develop web-based systems and create websites; 2) to hire experts and students on a part-time basis to a) evaluate the proposed system b) conduct experiments, and c) analyze the experimental results; as well as 3) to make business trips to a) meet and obtain feedback, advices, evaluations from the researchers at the National University of Mongolia, and b) present research achievements and results at the domestic and international conferences.
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