This paper presents a computational study of the perceptual and musicological audio features that correlate with the structural function of sections in pop songs, specifically the chorus. Choruses have been described ...
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As the scale of the solar cell moves into nanometer regime, the numerical analysis should evolve at the same pace. By using the Matlab (R) as the tool and solving the general Poisson and continuity equations, we are a...
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ISBN:
(纸本)9781479983797
As the scale of the solar cell moves into nanometer regime, the numerical analysis should evolve at the same pace. By using the Matlab (R) as the tool and solving the general Poisson and continuity equations, we are able to have a good platform for the nano-scale solar cells. By adapting proper parameters, the perovskite solar cells and their behavior under different surface recombination conditions were analyzed.
Dependability means ensuring the quality of a product over a period of time, i.e. from the moment the product leaves the factory to the end of its life. Many engineers and technicians make use of methods some of which...
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Dependability means ensuring the quality of a product over a period of time, i.e. from the moment the product leaves the factory to the end of its life. Many engineers and technicians make use of methods some of which form part of the dependability process. We discuss the methods used and the way in which they are organised. It is concluded that dependability should be formulated and implemented as early as possible, by favouring simple solutions and selecting recognized technologies. It is also used later to assist in the implementation of a production tool that is adapted and reliable. A reliable production process can be achieved by using process analyses that clearly illustrate the functions and risks. By reducing the latter, the production cycle will improve and the number of rejected items will diminish.< >
Presents a Word Similarity Algorithm based on Thesaurus, Made two changes to the structure of Thesaurus to accurately reflect the semantic distance, the algorithm took into account the Thesaurus classification for dif...
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Previously, we proposed and implemented a Self-structuring Data Learning Algorithm. This realized software package and the concept are still progressing. Earlier, it was tested with synthetic data and exhibited intere...
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The task of summarization often requires a non-trivial understanding of the given text at the semantic level. In this work, we essentially incorporate the constituent structure into the single document summarization v...
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ISBN:
(纸本)9781577358763
The task of summarization often requires a non-trivial understanding of the given text at the semantic level. In this work, we essentially incorporate the constituent structure into the single document summarization via the Graph Neural Networks to learn the semantic meaning of tokens. More specifically, we propose a novel hierarchical heterogeneous graph attention network over constituency-based parse trees for syntax-aware summarization. This approach reflects psychological findings that humans will pinpoint specific selection patterns to construct summaries hierarchically. Extensive experiments demonstrate that our model is effective for both the abstractive and extractive summarization tasks on five benchmark datasets from various domains. Moreover, further performance improvement can be obtained by virtue of state-of-the-art pre-trained models.
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