نتایج جستجو برای: msra
تعداد نتایج: 346 فیلتر نتایج به سال:
Grid computing employs heterogeneous resources which may be installed on different platforms, hardware/software, computer architectures, and perhaps using different computer languages to solve large-scale computational problems. As many more Grids are being developed worldwide, the number of multi-institutional collaborations is growing rapidly. However, to realize Grid computing’s full potenti...
Our strategy for TREC KBA CCR track is to first retrieve as many vital or documents as possible and then apply more sophisticated classification and ranking methods to differentiate vital from useful documents. We submitted 10 runs generated by 3 approaches: question expansion, classification and learning to rank. Query expansion is an unsupervised baseline, in which we combine entities’ names ...
This paper describes the systems of, and the experiments by, Microsoft Research Asia (MSRA), with the support of Microsoft Research (MSR), in the IWSLT 2010 evaluation campaign. We participated in all tracks of the DIALOG task (Chinese/English). While we follow the general training and decoding routine of statistical machine translation (SMT) and that of MT output combination, it is our first t...
results fifty-three (53%) isolates were simultaneously resistant to erythromycin, azithromycin and clarithromycin (cross-resistance); while 8 (8%) isolates had variable macrolide susceptibility pattern. among the s. aureus isolates, the difference in prevalence of resistance to erythromycin between males and females was significant (p = 0.011). the frequency of erma, ermb, ermc, and msra genes ...
Named entity recognition can deeply explore semantic features and enhance the ability of vector representation text data. This paper proposes a named method based on multi-head attention to aim at problem fuzzy lexical boundary in Chinese recognition. Firstly, Word2vec is used extract word vectors, HMM ALBERT character Feedforward-attention mechanism fuse three then fused vectors remove by BiLS...
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