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» Learning with Annotation Noise
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ACL
2011
14 years 7 months ago
Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able t...
Graham Neubig, Yosuke Nakata, Shinsuke Mori
FLAIRS
2006
15 years 5 months ago
LARC: Learning to Assign Knowledge Roles to Textual Cases
In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
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FLAIRS
2006
15 years 5 months ago
A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo K...
CVPR
2007
IEEE
16 years 5 months ago
A Face Annotation Framework with Partial Clustering and Interactive Labeling
Face annotation technology is important for a photo management system. In this paper, we propose a novel interactive face annotation framework combining unsupervised and interacti...
Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, Xiaoo...
CSB
2003
IEEE
15 years 9 months ago
A New Approach for Gene Annotation Using Unambiguous Sequence Joining
The problem addressed by this paper is accurate and automatic gene annotation following precise identification/annotation of exon and intron boundaries of biologically verified ...
Alexandre Tchourbanov, Daniel Quest, Hesham H. Ali...