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Abstract
We present a system for retrieving the most relevant legal opinions to a given legal case or question. To this end, we checked several state-of-the-art neural language models. As a training and testing data, we use tens of thousands of legal cases as question-opinion pairs. Text data has been subjected to advanced pre-processing adapted to the specifics of the legal domain. We empirically chose the BERT-based HerBERT model to perform the best in the considered scenario.
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Authors (8)
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Maciej Osowski
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Katarzyna Lorenc
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Paweł Drozda
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Rafał Scherer
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Konrad Szałapak
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Kajetan Komar-Komarowski
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Szymański J., Sobecki A.: Previous Opinions is All You Need - Legal Information Retrieval System// / : , 2023,
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-031-41774-0
- Sources of funding:
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- COST_FREE
- Verified by:
- Gdańsk University of Technology
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