Vectorial representations of words derived from large current events datasets have been shown to perform well on word similarity tasks. This paper shows vectorial representations derived from substantially smaller explanatory text datasets such as English Wikipedia and Simple English Wikipedia preserve enough lexical semantic information to make these kinds of category judgments with equal or b...

The goal of this paper is to present a particular type of lexicon, elaborated within a formal theory of natural language called Meaning-Text Theory (MTT). This theory puts strong emphasis on the development of highly structured lexica. Computational linguistics does of course recognize the importance of the lexicon in language processing. However, MTT probably goes further in this direction tha...

Probabilistic polysemantic distribution is peculiar to a word with a concrete frequency in the frequency list. Let's introduce dependence "usage polysemanticism" proceeding from the following theoretical assumptions: 1. The lexicon of a concrete language (sublanguage) is reflected in the appropriate explanatory dictionary. A certain constitutive text corpus lays in the basis of the language. 2....

Unlike text on paper, hypertext enables the linking of pieces of text with other texts and multimedia resources, which not only improves the way we read but also lays the foundation for new information systems. Specifically, the proliferation of collaborative sites, blogs, online databases, encyclopedias and many other services on the World Wide Web provides an invaluable source of up-to-date i...

In this paper we discuss an envisioned text planner for a computer-assisted instruction tool for deaf learners of English. We describe the problem of deaf literacy and overview our system, designed to act as a writing tutor that generates text to explain the errors found in a user's written compositions. These explanations are created according to a response anatomy that divides the planning ta...