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A robust numerical measures of lexical relatedness is significant for many applications, such as text summarization system and information retrieval researches. Standard seme-based measures of word pair relatedness are based on only the comparison of semes of the two words. This paper propose a new model called seme based graph using an extended random walk to measure explicit and implicit relatedness...
Sensor plays an important role in context-aware computing. While sensor modeling is usually isolated from former researches on context modeling and sensor type is always restricted to physical ones, this paper aims to provide a more comprehensive insight into the relationships between sensor and context. Based on a more generic definition of sensor and a corresponding sensor category in context-aware...
This paper presents a new model of measuring semantic similarity in the taxonomy of WordNet. The model takes the path length between two concepts and IC value of each concept as its metric, furthermore, the weight of two metrics can be adapted artificially. In order to evaluate our model, traditional and widely used datasets are used. Firstly, coefficients of correlation between human ratings of similarity...
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