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» Representing Text Chunks
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132
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AAAI
2006
15 years 4 months ago
Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
When humans approach the task of text categorization, they interpret the specific wording of the document in the much larger context of their background knowledge and experience. ...
Evgeniy Gabrilovich, Shaul Markovitch
109
Voted
CIKM
2009
Springer
15 years 9 months ago
Text summarization model based on the budgeted median problem
We propose a multi-document generic summarization model based on the budgeted median problem. Our model selects sentences to generate a summary so that every sentence in the docum...
Hiroya Takamura, Manabu Okumura
105
Voted
TAICPART
2010
IEEE
166views Education» more  TAICPART 2010»
15 years 1 months ago
Linguistic Security Testing for Text Communication Protocols
We introduce a new Syntax-based Security Testing (SST) framework that uses a protocol specification to perform security testing on text-based communication protocols. A protocol sp...
Ben W. Y. Kam, Thomas R. Dean
111
Voted
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 3 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
134
Voted
AAAI
2004
15 years 4 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu