In this paper we describe a system for semantic interpretation of noun compounds that relies on world and domain knowledge from a knowledge base. This architecture combines domain...
This paper explores the application of restricted relationship graphs (RDF) and statistical NLP techniques to improve named entity annotation in challenging Informal English domain...
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Chr...
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...