Law and AI
In collaboration with Prof. Noriko Okubo at Graduate School of Law and Politics, Osaka University, we are studying to automatically evaluate how green laws are enforced in different countries.
Green laws' participation principle consists of 1) the information access right, 2) participation in the policy decision process, 3) the judicial access; however, actual implementation varies country to country, and legal methodologies have been explored for evaluating their effectiveness. This work investigates legal evaluation criteria on the green laws' participation principle, analyzes Japanese participation system’s pros and cons in a comparative perspective, and propose some recommendations to establish the environmental democracy.
The difficulty lies in how to automatically find out related legislations, cases, statutes, etc. in different languages. As the first attempt, we proposed a method for identifying the topic of such legal documents through analyzing citation networks in addition to classic topic modeling. The figure below shows citation networks among different types of legal documents (e.g., cases-prior cases).
- Improving topic modeling through homophily for legal documents
- WRIME: A new dataset for emotional intensity estimation with subjective and objective annotations
- Information Extraction from Public Meeting Articles
- Corpus Construction for Historical Newspapers: A Case Study on Public Meeting Corpus Construction Using OCR Error Correction
- Australian History in Newspaper and AI