This paper proposes a cosine similarity ensemble (CSE) method to learn similarity.CSE is a selective ensemble and combines multiple cosine similarity learners.A learner redefines the pattern vectors and determines its threshold adaptively.Experimental ...
Recent advances in machine learning have been able to make improvements over the state-of-the-art regarding semantic similarity measurement techniques. In fact, we have all seen how classical techniques have given way to promising ...
The problem of identifying the degree of semantic similarity between two textual statements automatically has grown in importance in recent times. Its impact on various computer-related domains and recent breakthroughs in neural computation has ...
Elsevier Science Publishers B. V.
Netherlands
