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Traditional Entity Linking is the task of linking name mentions in Web text with their referent entities in a knowledge base, and thus plays an important role in a range of Internet services, such as online recommender systems and Web search Engines. However, in our data integration framework, entity linking becomes the performance bottleneck. The reason is that data records of data integration systems...
In this paper, we propose a novel approach that determines whether the seat belts in the vehicle are belted or unbelted. It is a challenging problem because of some practical constraints including low quality images due to severe illumination conditions, view variation, complex background, etc. In order to alleviate these problems, our proposed approach can jointly train multi-detectors. It keeps...
Properly utilizing the spatial correlation of regions benefits for improving the performance of label localization task. However, we could not obtain this information directly since we do not have the region level ground truth. In this paper, we propose a weakly spatial constrained graph propagation by mining the spatial correlation from unlabeled regions and integrating it into the graph propagation...
This paper is an initial explore to Chinese-Uyghur statistical machine translation. We experimented on three systems, which are based on moses framework, on Uyghur word-level corpus and morpheme-level corpus, then combine their 1-best translation hypothesis by constructing consensus network using TER alignment. The experiments show the combination of hypothesis that are from different systems can...
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