Microbial Biohydrogen Production by Rhodobacter sphaeroides O.U.001 in Photobioreactor

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The experiments conducted on the semantic relatedness task show that text-based learning works well on general domain tasks, however for tasks in specific domains, joint learning that

To predict these concept extensions, we train a model that learns a representation of an input entity using features derived from distributional semantics and ontological information

At only a few thousand distinct sentences many of them variants on an even smaller set of template sentences, the corpus is not large enough to train a high quality learned model of

We extract our signal yield in bins of the Xs -hadron mass, mXs , and use the measured values of the partial branching fractions in each of these bins to determine a total transition

Unlike the implicit matrix factorization methods recently proposed for learning word embeddings, our method directly models the interaction between predicates and their two arguments,

Manning Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities Jackie Chi Kit Cheung Joint Semantic Relevance

Some previous approaches have used English letters and Chinese characters/Korean syllabic blocks as the basic alignment units for transliteration Oh and Choi, 2006; Li et al., 2004; Jia

relation between Regge poles and field theory is the belief that such a relation will reveal properties of field theory which are independent of the results of a perturbation

We also compare transliteration systems trained using manually created corpora with the ones mined from parallel translation corpus for English to Indian language pairs.. We identify

H"o motion shall be brought forward afc any annual or extraordinary meeting of the Society for the election of any officer, or the addition to or any change in the laws, unless a notice