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» Text Mining at the Term Level
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WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
15 years 10 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
143
Voted
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
15 years 10 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
142
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PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
15 years 2 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...
144
Voted
TSE
2010
148views more  TSE 2010»
15 years 2 months ago
Program Behavior Discovery and Verification: A Graph Grammar Approach
—Discovering program behaviors and functionalities can ease program comprehension and verification. Existing program analysis approaches have used text mining algorithms to infer...
Chunying Zhao, Jun Kong, Kang Zhang
144
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BIBE
2007
IEEE
169views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Combining Semantics, Context, and Statistical Evidence in Genomics Literature Search
—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
Jay Urbain, Nazli Goharian, Ophir Frieder