Scaling up Analogical Learning
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چکیده
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps that seriously limit its applicability, the most computationally demanding one being the identification of analogies in the input space. In this study, we investigate different strategies for efficiently solving this problem and study their scalability.
منابع مشابه
Scaling-up analogical learning Apprentissage par analogie : passage à l’échelle
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps that seriously limit its applicability. The most computationally demanding operation involved is the identification of analogies in the input space. In this study, we investigate different strategies and datastructure ...
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تاریخ انتشار 2008