Text Classification into Abstract Classes Based on Discourse Structure
The problem of classifying text with respect to belonging to a document or a metadocument is formulated and its application areas are proposed. An algorithm is proposed for document classification tasks where counts of words isinsufficient do differentiate between such abstract classes of text as metalanguage and object-level. We extend the parse tree kernel method from the level of individual sentences towards the level of paragraphs, based on anaphora, rhetoric structure relations and communicative actions linking phrases in different sentences. Tree kernel learning technique is applied to these extended trees to leverage of additional discourse-related information. We evaluate our approach in the domain of action-plan documents.
This paper deals with the metaphoric representation of the concept cash in professional discourse. It is based on the analysis of conceptual metaphors in English written texts produced by students majoring in economics. The paper focuses on the metaphor as a means of verbalizing special knowledge in a professional type of economic discourse. A comprehensive analysis, applied by the author, contributes to the development of a metaphoric model of the concept cash.
The research applied for research abilities of critical discourse analysis for new religious movements’ analysis. A long tradition of religion research in social sciences had a lot of theoretical issues. In this paper we show how theory is used for empirical survey.
The artcile presents nominations for interpersonal status of communicators in different types of intercultural discourse. These depend on the level of professional competence and range along the scale "naive - specific".
In this article we present the results of research into discourse features characterising a lexico-semantic group of synonyms denoting a human being: human being, person, individual, personality and man. The main tool for analysis was language corpora, which made it possible not only to determine more precisely the functional styles the lexemes tend to be used in, but also to describe thematic characteristics of the texts in which the analysed lexical units show the highest frequency of use