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Chinese dependency relationship is complex and dependency span between the words is large especially in Chinese long sentences. Considering greed problems caused by Arc-eager algorithm for solving the long-distance dependencies in long sentences, this paper constructs a Root Node Finder. It can divide a long sentence into two short sentences. Using HIT Dependency Tree bank as a training test set,...
Parsing based on tree bank is a central issue of current natural language processing. The machine learning method of SVM and the dependency tree bank of HIT-IR-CDT is adopted in this work. In order to increase the parsing accuracy by linguistic means, verb subdivision and noun incorporation is done. The result shows, after verb subdivision, the accuracy of unlabeled attachment score increases from...
Real-time traffic data is the main information source of Traffic Management Center (TMC) and Intelligent Traffic System (ITS), the qualities of collected data will affect the accuracy of the entire traffic control system directly. To improve the qualities of data, error processing must be used. In the paper, based of the large number of studies in related fields at home and abroad, the error processing...
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside on different manifolds of possible different dimensions. Therefore, better classification accuracy would be achieved by modeling the data by multiple manifolds each corresponding to a class. To this end, a general framework...
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