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Muffled Semantic Matching
Muffled Semantic Matching – This is a novel system that is developed to learn semantic similarity in natural language. Our system, Semantic Matching, is trained on 3 large-scale data sets and compared with existing systems which use a combination strategy with a supervised learning method. Our model learns a novel syntax to extract relevant syntactic […]