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2010 – 2019
- 2011
[c9]Christian Siefkes:
The Emergence of Benefit-driven Production. OKCon 2011
2000 – 2009
- 2007
- [b1]Christian Siefkes:
An incrementally trainable statistical approach to information extraction based on token classification and rich context models. Free University of Berlin, Dahlem, Germany, 2007 - 2006
- [c8]Christian Siefkes:
A Comparison of Tagging Strategies for Statistical Information Extraction. HLT-NAACL 2006 - 2005
- [j1]Christian Siefkes, Peter Siniakov:
An Overview and Classification of Adaptive Approaches to Information Extraction. J. Data Semant.: 172-212 (2005) - [c7]Christian Siefkes:
Incremental Information Extraction Using Tree-Based Context Representations. CICLing 2005: 510-521 - [c6]Fidelis Assis, William S. Yerazunis, Christian Siefkes, Shalendra Chhabra:
CRM114 versus Mr. X: CRM114 Notes for the TREC 2005 Spam Track. TREC 2005 - 2004
- [c5]Christian Siefkes:
A Shallow Algorithm for Correcting Nesting Errors and Other Well-Formedness Violations in XML-like Input. Extreme Markup Languages® 2004 - [c4]Shalendra Chhabra, William S. Yerazunis, Christian Siefkes:
Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas. ICDM 2004: 347-350 - [c3]Christian Siefkes, Fidelis Assis, Shalendra Chhabra, William S. Yerazunis:
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering. PKDD 2004: 410-421 - 2003
- [c2]Christian Siefkes:
Learning to Extract Information for the Semantic Web. Berliner XML Tage 2003: 452-459
1990 – 1999
- 1998
- [c1]Christian Siefkes:
Truman und die Zugänge zur Informatik. FIFF Jahrestagung 1998: 73-85
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