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» Finding nuggets in documents: A machine learning approach
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JASIS
2006
82views more  JASIS 2006»
14 years 11 months ago
Finding nuggets in documents: A machine learning approach
Yi-fang Brook Wu, Quanzhi Li, Razvan Stefan Bot, X...
CIKM
2010
Springer
14 years 10 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
ICML
2001
IEEE
16 years 12 days ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
TREC
2008
15 years 1 months ago
A Hybrid Method for Opinion finding Task (KUNLP at TREC 2008 Blog Track)
This paper presents an approach for the Opinion Finding task at TREC 2008 Blog Track. For the Ad-hoc Retrieval subtask, we adopt language model to retrieve relevant documents. For...
Linh Hoang, Seung-Wook Lee, Gum-Won Hong, Joo-Youn...
WWW
2008
ACM
16 years 8 days ago
As we may perceive: finding the boundaries of compound documents on the web
This paper considers the problem of identifying on the Web compound documents (cDocs) ? groups of web pages that in aggregate constitute semantically coherent information entities...
Pavel Dmitriev