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Virtually all segmentation methods require parameter tuning, quite a difficult task, mostly performed manually through a troublesome trial-and-error process. To overcome this difficulty, an earlier ...
Manually annotated corpora are indispensable resources, yet for many annotation tasks, such as the creation of treebanks, there exist multiple corpora with different and incompatible annotation guidel...
The key step in object-oriented image classification is the segmentation of the image into discrete meaningful objects. Generally the relation between the segmentation parameters and the corresponding...
This paper presents a distributed client-server architecture for the personalized delivery of textual news content to mobile users. The user profile consists of two separate models, that is, the long-...
Manually annotated corpora are valuable but scarce resources, yet for many anno-tation tasks such as treebanking and se-quence labeling there exist multiple cor-pora withdifferentandincompatible anno-...
We describe for dependency parsing an an-notation adaptation strategy, which can au-tomatically transfer the knowledge from a source corpus with a different annota-tion standard to the desired target ...

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