The goal of the present paper is to report on the on-going research for applying psycholinguistic resources to building a WordNet-like lexicon of the Russian language. We are to survey different kinds of the linguistic data that can be extracted from a Word Association Thesaurus, a resource representing the results of a largescaled free association test. In addition, we will give a comparison o...

We propose that qualitative physics can provide an important component of natural language semantics. Specifically, we describe how qualitative process theory can be recast in terms of frame semantics, as used in the Berkeley FrameNet project. This reformulation is important because it could allow the techniques of qualitative reasoning to be harnessed for natural language understanding and it ...

Exploring recent work in systems neuroscience and comparative biolinguistics, it is argued that only by decomposing the computational operations of language into their generic suboperations will an explanatory neurolinguistics emerge. Methods of investigating the brain mechanisms of language comprehension are discussed, and the prospects for Dynamic Cognomics are explored alongside more fundame...

Due to the importance that verbs have in language an identification of their actants (obligatory complements) is important for understanding of the meaning of sentences. Usually, the solution of this problem in natural language processing is based on machine learning approaches, which are trained on large sets of tagged texts. We show that it is possible to work with other kind of sources, i.e....

Much of human discourse, whether it be in a scientific meeting or in gossip, contains explanations. We all seem to need explanations and want to share them with others. Conversations without any explanatory components would strike us as the most banal sorts of cocktail party banter. Indeed, it has been claimed that those afflicted with Williams Syndrome may have just a deficit, being able to en...