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2010
Springer

Supervised Machine Learning for Summarizing Legal Documents

9 years 5 months ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us with a corpus of almost 4,000 text and extract pairs for our machine learning experiments. That corpus was pre-processed to identify the selected source sentences in extracts from which we generated legal structured data. We finally describe our sentence classification experiments relying on a Naive Bayes classifier using a set of surface, emphasis, and content features.
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
Added 18 Jul 2010
Updated 18 Jul 2010
Type Conference
Year 2010
Where AI
Authors Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
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