Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
In software engineering contexts software may be compared for similarity in order to detect duplicate code that indicates poor design, and to reconstruct evolution history. Malicio...
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
: Semantic similarity between schema elements is greatly influenced by the context in which the elements are defined and compared. This paper emphasizes on the role of context in e...
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...