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This paper presents an opinion analysis system based on linguistic knowledge which is acquired from small-scale annotated text and raw topic-relevant Web page. Based on the observation on the annotated opinion corpus, some word-, collocation- and sentence-level linguistic features for opinion analysis are discovered. Supervised and unsupervised learning techniques are developed to learn these features...
Port state control (PSC) inspection is the most important mechanism to ensure world marine safety. Existing PSC risk assessment systems estimate the risk of each candidate ship on the target factors, which is recorded in the inspection database, to help the port authorities identify ships at high risks. The performance of these systems is difficult to be improved due to the limited available factors...
Port state control (PSC) inspection is the most important mechanism to ensure world marine safe. This paper presents a risk assessment system, which estimates the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. The target factors adopted in Paris MOU PSC inspection and Tokyo MOU PSC inspection...
Automatic terminology extraction can be divided into two tasks. The first task measures the unithood which is used to identify a string as a lexical unit. The second task measures the so called termhood, used to identify a lexical unit being a domain specific term. This paper proposes a method to measure termhood in Chinese ATE. It considers the domain specificity of both the components of a candidate...
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