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» How Much Can We Gain from Supervised Word Alignment
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DEXAW
2009
IEEE
114views Database» more  DEXAW 2009»
15 years 3 months ago
On Different Perspectives of XML Data Evolution
XML data evolution has recently gained much interest in both research and practice. However, most of the existing works deal with separate aspects of the problem such as evolution...
Martin Necasky, Irena Mlynkova
142
Voted
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 12 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
319
Voted
CSL
2011
Springer
15 years 16 days ago
Applications of graph theory to an English rhyming corpus
How much can we infer about the pronunciation of a language – past or present – by observing which words its speakers rhyme? This paper explores the connection between pronunc...
Morgan Sonderegger
168
Voted
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 6 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
155
Voted
EMNLP
2009
15 years 3 months ago
Refining Grammars for Parsing with Hierarchical Semantic Knowledge
This paper proposes a novel method to refine the grammars in parsing by utilizing semantic knowledge from HowNet. Based on the hierarchical state-split approach, which can refine ...
Xiaojun Lin, Yang Fan, Meng Zhang, Xihong Wu, Huis...