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ECML
2006
Springer
15 years 10 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
ICML
2005
IEEE
16 years 7 months ago
Evaluating machine learning for information extraction
Comparative evaluation of Machine Learning (ML) systems used for Information Extraction (IE) has suffered from various inconsistencies in experimental procedures. This paper repor...
Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, ...
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COLT
2003
Springer
15 years 11 months ago
Generality's Price: Inescapable Deficiencies in Machine-Learned Programs
John Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang M...
AI
2010
Springer
15 years 11 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 wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme