Rhetorical Structure Theory (RST) has been in constant research for a number of years. The different parts of a text are called text spans. RST helps in organizing these text spans. These text spans are connected with each other by Discourse markers. In this paper, we are exploring the possibility of realizing some RST relations (CONTRAST, SEQUENCE and PARALLEL) from multi-nuclear sentences in ...

This paper presents an approach towards the definition of a formal framework for rhetorical argumentation. Before describing the competence theory behind the framework, we introduce the notion of rhetorical argument, and describe the New Rhetoric, a well known theory in the philosophy of argumentation, upon which our work is based.

Finding answers to why-questions involves finding arguments in texts, rather than the noun phrases that are typical targets for factoid questions. Detecting arguments requires detecting specific rhetorical structures and relations. Therefore, we proposed the use of Rhetorical Structure Theory (RST) as a tool for discovering answer to why-questions in paragraphs that are likely to contain the an...

Much has been written on the nature and use of so-called rhetorical relations to govern the structure anti coherence of discourse, and much has been written on the need for communicative intentions to govern discourse construction. In early research on automated text creation, the operationalized structural relations from Rhetorical Structure Theory (RST) [Mann & Thompson 88] were used both to ...

Finding answers to why-questions involves finding arguments in texts, rather than the noun phrases that are typical targets for factoid questions. Detecting arguments requires detecting specific rhetorical structures and relations. Therefore, we proposed the use of Rhetorical Structure Theory (RST) as a tool for discovering answer to why-questions in paragraphs that are likely to contain the an...

Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using machine learning to obtain a classifier which can distinguish between different relations typically depends on the availability of manually labelled training data, which is very time-consuming to create. However, rheto...

Mention the words rhetoric and science together, and many people see an intrinsic contradiction. After all, two hallmarks of modern science are objectivity and empirical method, whereas rhetoric bears the marks of a long and sometimes sordid history of sophistic oratory and biased argumentation. Gerald Holton describes this distinction: Rhetoric is often perceived as the art of persuasion, whil...

Overloaded and disinterested consumers have become skillful at screening out ads. In response, advertisers employ and combine various strategies, with two major ones being (a) rhetorical figures (e.g., rhyme, puns) and (b) message repetition. Though each has received substantial research attention and is crucial to advertising theory, they have not been examined simultaneously. We conducted a m...

This study examined the effect of two different authentic topic-familiar rhetorical L2 listening tasks (expository and argumentative) differing in reasoning demand on the listening comprehension scores of a number of Iranian EFL advanced learners. Sixty homogeneous advanced learners were recruited based on their performance on an English Language Proficiency test (Fowler & Coe, 1976). Then they...

  Translation of the Holy Quran can be difficult for translators in terms of accuracy and translatability. Sometimes translators fail to render the Quranic thoughts because of the lack of language features in target languages. This results in an unfavorable interpretation. One of the challenging aspects of translating Quran is reference switching as rhetorical devices, which are widespread i...