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- W3175746219 abstract "The Competition on legal information extraction/entailment (COLIEE) is an international information processing and retrieval competition. As an aid to future participants as well as question designers, this article describes how to connect legal questions taken from past Japanese bar exams to relevant statutes (articles of the Japanese Civil Code, Task 3) and how to construct a Yes/No question answering system for legal queries (Task 4) incorporating background materials on Japanese law. We restructured the given data to a dataset which contains all possible combinations of queries and articles as continuous strings as our samples. In this way, the difficult pairing task has been turned into a simpler classification task and samples for training became sufficient in number. Next, we used three BERT-based models to solve binary questions in order to achieve stable performance. As a result, the model achieved an F2-score of 0.6587 in Task 3 (ranked 1st) and an accuracy of 0.6161 in Task 4." @default.
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- W3175746219 date "2021-01-01" @default.
- W3175746219 modified "2023-10-16" @default.
- W3175746219 title "BERT-Based Ensemble Model for Statute Law Retrieval and Legal Information Entailment" @default.
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- W3175746219 doi "https://doi.org/10.1007/978-3-030-79942-7_15" @default.
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