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This paper presents methods for measuring the semantic similarity of texts, where we evaluated different approaches based on existing similarity measures. On one side word similarity was calculated by processing large text corpuses and on the other, commonsense knowledgebase was used. Given that a large fraction of the information available today, on the Web and elsewhere, consists of short text snippets (e.g. abstracts of scientifi c documents, image captions or product descriptions), where commonsense knowledge has an important role, in this paper we focus on computing the similarity between two sentences or two short paragraphs by extending existing measures with information from the ConceptNet knowledgebase. On the other hand, an extensive research has been done in the fi eld of corpus-based semantic similarity, so we also evaluated existing solutions by imposing some modifi cations. Through experiments performed on a paraphrase data set, we demonstrate that some of proposed approaches can improve the semantic similarity measurement of short text.

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In spite of great developments in artificial intelligence, human brain is still more powerful, concerning the comprehension and manipulation with partially known facts. One domain where this is prominent is related to a problem of question answering. When it comes to giving the answers, especially those that do not explicitly exist in the text corpus, the advantages of a human expert are abilities such as explaining, combining complex answers, and abstract reasoning. This paper represents a survey of the existing research in the domain of intelligent question routing. The survey starts from an original presentation paradigm that generalizes the essence of approaches found in the open literature. The presentation paradigm includes three basic processing stages related to the three major problems of system implementation: question analysis, question forwarding, and users’ knowledge profiling. Various research efforts use different approaches for implementation of each one of the basic processing stages. Each particular approach is described here using the same template. All these approaches are enlisted, discussed, and presented within a table, for easier comparison. The outcome of this analysis is a proposal for a new approach that tackles identified problems.

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