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AbstractWe consider the problem of disambiguating concept mentions appearing in documents and grounding them in multiple knowledge bases, where each knowledge base addresses some aspects of the domain. This problem …...

In this paper we present a word decom- pounding method that is based on distribu- tional semantics. Our method does not re- quire any linguistic knowledge and is initial- ized …...

We introduce DocSCAN, a completely unsu- pervised text classification approach built on the Semantic Clustering by Adopting Nearest- Neighbors algorithm. For each document, we obtain semantically informative vectors from a …...