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Legal Search in Case Law and Statute Law

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 نشر من قبل Julien Rossi
 تاريخ النشر 2021
  مجال البحث الهندسة المعلوماتية
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In this work we describe a method to identify document pairwise relevance in the context of a typical legal document collection: limited resources, long queries and long documents. We review the usage of generalized language models, including supervised and unsupervised learning. We observe how our method, while using text summaries, overperforms existing baselines based on full text, and motivate potential improvement directions for future work.



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