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AI
2010
Springer
14 years 16 days 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
LREC
2010
177views Education» more  LREC 2010»
13 years 9 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
COLING
2002
13 years 7 months ago
Automatic Text Categorization using the Importance of Sentences
Automatic text categorization is a problem of automatically assigning text documents to predefined categories. In order to classify text documents, we must extract good features f...
Youngjoong Ko, Jinwoo Park, Jungyun Seo
TAL
2010
Springer
13 years 6 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...
DMIN
2008
134views Data Mining» more  DMIN 2008»
13 years 9 months ago
Political Leaning Categorization by Exploring Subjectivities in Political Blogs
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...
Maojin Jiang, Shlomo Argamon