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» Using structured text for large-scale attribute extraction
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83
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CIKM
2007
Springer
15 years 3 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera
89
Voted
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
15 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
COLING
2008
14 years 11 months ago
Class-Driven Attribute Extraction
We report on the large-scale acquisition of class attributes with and without the use of lists of representative instances, as well as the discovery of unary attributes, such as t...
Benjamin Van Durme, Ting Qian, Lenhart Schubert
LREC
2010
154views Education» more  LREC 2010»
14 years 11 months ago
Acquiring Reliable Predicate-argument Structures from Raw Corpora for Case Frame Compilation
We present a method for acquiring reliable predicate-argument structures from raw corpora for automatic compilation of case frames. Such lexicon compilation requires highly reliab...
Daisuke Kawahara, Sadao Kurohashi
81
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WWW
2009
ACM
15 years 4 months ago
Bootstrapped extraction of class attributes
As an alternative to previous studies on extracting class attributes from unstructured text, which consider either Web documents or query logs as the source of textual data, A boo...
Joseph Reisinger, Marius Pasca