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AI
2010
Springer
14 years 13 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
PRIS
2004
13 years 9 months ago
Learning Text Extraction Rules, without Ignoring Stop Words
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...
João Cordeiro, Pavel Brazdil
JIIS
2002
168views more  JIIS 2002»
13 years 7 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
WWW
2008
ACM
14 years 8 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
ICADL
2007
Springer
147views Education» more  ICADL 2007»
14 years 1 months ago
Feature Reinforcement Approach to Poly-lingual Text Categorization
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
Chih-Ping Wei, Huihua Shi, Christopher C. Yang