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Currently most of state-of-the-art methods for Chinese word segmentation are based on supervised learning, whose features are mostly extracted from a local context. These methods cannot utilize the long distance information which is also crucial for word segmentation. In this paper, we propose a novel neural network model for Chinese word segmentation,(More)
The groundbreaking discovery of induced pluripotent stem cells (iPS cells) provides a new source for cell therapy. However, whether the iPS derived functional lineages from different cell origins have different immunogenicity remains unknown. It had been known that the cells isolated from extra-embryonic tissues, such as umbilical cord mesenchymal cells(More)
As the primary microtubule nucleator in animal cells, the γ-tubulin ring complex (γTuRC) plays a crucial role in microtubule organization, but little is known about how the activity of the γTuRC is regulated. Recently, isolated γTuRC was found to contain NME7, a poorly characterized member of the NME family. Here we report that NME7 is a γTuRC component(More)
Signal processing on graph is attracting more and more attention. For a graph signal in the low-frequency space, the missing data associated with unsampled vertices can be reconstructed through the sampled data by exploiting the smoothness of graph signal. In this paper, two local-set-based iterative methods are proposed to reconstruct ban-dlimited graph(More)
  • Pengfei Liu, Ayelet Erez, Sandesh C. Sreenath Nagamani, Shweta U. Dhar, Katarzyna E. Kołodziejska, Avinash V. Dharmadhikari +25 others
  • 2011
Complex genomic rearrangements (CGRs) consisting of two or more breakpoint junctions have been observed in genomic disorders. Recently, a chromosome catastrophe phenomenon termed chromothripsis, in which numerous genomic rearrangements are apparently acquired in one single catastrophic event, was described in multiple cancers. Here, we show that(More)
  • Claudia M. B. Carvalho, Melissa B. Ramocki, Davut Pehlivan, Luis M. Franco, Claudia Gonzaga-Jauregui, Ping Fang +15 others
  • 2011
We identified complex genomic rearrangements consisting of intermixed duplications and triplications of genomic segments at the MECP2 and PLP1 loci. These complex rearrangements were characterized by a triplicated segment embedded within a duplication in 11 unrelated subjects. Notably, only two breakpoint junctions were generated during each rearrangement(More)
The tasks in fine-grained opinion mining can be regarded as either a token-level sequence labeling problem or as a semantic compositional task. We propose a general class of discriminative models based on recurrent neural networks (RNNs) and word embeddings that can be successfully applied to such tasks without any task-specific feature engineering effort.(More)
In this paper, we propose to use a discriminative training(DT) method to improve naive Bayes classifiers in context of natural language call routing. As opposed to the traditional maximum likelihood estimation, all conditional probabilties in Naive Bayes classifers (NBC) are estimated discriminatively based on the minimum classification error (MCE)(More)