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» Extracting Useful Information from the Full Text of Fiction
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SIGIR
2010
ACM
13 years 11 months ago
Short text classification in twitter to improve information filtering
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...
ACL
2012
11 years 9 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ā€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
IJNSEC
2007
121views more  IJNSEC 2007»
13 years 7 months ago
Data Hiding in a Kind of PDF Texts for Secret Communication
In this paper, we present a novel steganographic technique for hiding data in a kind of PDF texts. We ļ¬rst point out the secret channels in a kind of PDF English texts, which ar...
Shangping Zhong, Xueqi Cheng, Tierui Chen
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 7 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
KCAP
2011
ACM
12 years 10 months ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-speciļ¬ed domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...