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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 2 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 8 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
MM
2010
ACM
151views Multimedia» more  MM 2010»
15 years 2 months ago
Enhanced exploration of oral history archives through processed video and synchronized text transcripts
A digital video library of over 900 hours of video and 18000 stories from The HistoryMakers was used by 266 students, faculty, librarians, and life-long learners interacting with ...
Michael G. Christel, Scott M. Stevens, Bryan Maher...
CIKM
2010
Springer
15 years 16 days ago
Automatically suggesting topics for augmenting text documents
We present a method for automated topic suggestion. Given a plain-text input document, our algorithm produces a ranking of novel topics that could enrich the input document in a m...
Robert West, Doina Precup, Joelle Pineau
WWW
2009
ACM
16 years 2 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth