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This paper proposes a minimally supervised method for acquiring high-level semantic relations such as causality and prevention from the Web. Our method learns linguistic patterns that express causality such as ??x gave rise to y??, and uses them to extract causal noun pairs like (global warming, malaria epidemic) from sentences like ??global warming gave rise to a new malaria epidemic??. The novelty...
In response to the demand for educational reform, this paper aims at cultivating college studentspsila intercultural communication competence on the basis of intercultural communication theory and empirical research method. Scenario training method, assisted with specific cases, was constructed, and hypothesis test tool was applied to analyzing its effect as well. The conclusion shows that this scenario...
In this paper the production and comprehension of speech is viewed as a dynamic choice of strategies within a situation, divided into two broad areas of learning and communication strategies. These strategies are defined with reference to the uniqueness of foreign language knowledge and its special nature.
In the thesis, the author focuses on the empirical study of the reform on the translation teaching with a computer-assisted mode. It mainly shows the great impacts on the learners' learning caused by this total new mode in translation teaching.
This paper proposes an unsupervised approach to automatically interpret noun compounds using semantic similarity. Our proposed unsupervised method is based on obtaining a large amount of robust evidence for NC interpretation. In order to obtain evidence sentences for semantic relations (SRs), we first acquired sentences containing both a head noun and its modifier in the form of SR definitions. Then...
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