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NAACL
2010
13 years 5 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
IPCC
1998
92views more  IPCC 1998»
13 years 9 months ago
Evaluating Distance Learning in Graduate Programs: Ensuring Rigorous, Rewarding Professional Education
: Internet-based distance learning programs make it possible for technical communicators located anywhere in the world to participate in graduate courses in their field. But are th...
George F. Hayhoe
ICDM
2009
IEEE
164views Data Mining» more  ICDM 2009»
14 years 2 months ago
iTopicModel: Information Network-Integrated Topic Modeling
—Document networks, i.e., networks associated with text information, are becoming increasingly popular due to the ubiquity of Web documents, blogs, and various kinds of online da...
Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu
CIKM
2008
Springer
13 years 9 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
CVPR
2010
IEEE
13 years 11 months ago
Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Ki...