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» Large-scale extraction and use of knowledge from text
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ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 6 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
IAJIT
2008
117views more  IAJIT 2008»
15 years 1 months ago
Using WordNet for Text Categorization
: This paper explores a method that use WordNet concept to categorize text documents. The bag of words representation used for text representation is unsatisfactory as it ignores p...
Zakaria Elberrichi, Abdellatif Rahmoun, Mohamed Am...
121
Voted
ACL
2003
15 years 2 months ago
Closing the Gap: Learning-Based Information Extraction Rivaling Knowledge-Engineering Methods
In this paper, we present a learning approach to the scenario template task of information extraction, where information filling one template could come from multiple sentences. ...
Hai Leong Chieu, Hwee Tou Ng, Yoong Keok Lee
107
Voted
AUSAI
2008
Springer
15 years 3 months ago
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
Yi Zhen, Chunping Li
DL
2000
Springer
162views Digital Library» more  DL 2000»
15 years 5 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano