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» Using Information Extraction to Improve Document Retrieval
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211
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WWW
2009
ACM
16 years 7 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
WWW
2009
ACM
15 years 11 months ago
Extracting data records from the web using tag path clustering
Fully automatic methods that extract lists of objects from the Web have been studied extensively. Record extraction, the first step of this object extraction process, identifies...
Gengxin Miao, Jun'ichi Tatemura, Wang-Pin Hsiung, ...
180
Voted
ISMIR
2005
Springer
195views Music» more  ISMIR 2005»
16 years 11 days ago
Factors Affecting Automatic Genre Classification: An Investigation Incorporating Non-Western Musical Forms
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perfor...
Noris Mohd. Norowi, Shyamala Doraisamy, Rahmita Wi...
ISNN
2005
Springer
16 years 11 days ago
Content Based Retrieval and Classification of Cultural Relic Images
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
Na Wei, M. Emre Celebi, Guohua Geng
SIGIR
2012
ACM
13 years 9 months ago
Will this #hashtag be popular tomorrow?
Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a ...
Zongyang Ma, Aixin Sun, Gao Cong