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» Using Cross-Entity Inference to Improve Event Extraction
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 6 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
EXPERT
2008
106views more  EXPERT 2008»
13 years 5 months ago
Behavioral Inference across Cultures: Using Telephones as a Cultural Lens
Abstract. The majority of humans today carry mobile telephones. These phones automatically capture behavioral data from virtually every human society, stored in service provider da...
Nathan Eagle
AAAI
2007
13 years 8 months ago
Joint Inference in Information Extraction
The goal of information extraction is to extract database records from text or semi-structured sources. Traditionally, information extraction proceeds by first segmenting each ca...
Hoifung Poon, Pedro Domingos
COLING
2008
13 years 7 months ago
Extractive Summarization Using Supervised and Semi-Supervised Learning
It is difficult to identify sentence importance from a single point of view. In this paper, we propose a learning-based approach to combine various sentence features. They are cat...
Kam-Fai Wong, Mingli Wu, Wenjie Li
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
13 years 10 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano