Rhetorical structuring is field approached mostly by research in natural language (pragmatic) interpretation. However, in natural language generation (NLG) the rhetorical structure plays an important part, in monologues and dialogues as well. Hence, several approaches in this direction exist. In most of these, the rhetorical structure is calculated and built in the framework of Rhetorical Struc...

Text summarization based on rhetorical structure theory has shown extremely interesting result. The process of extracting the text summary from the result of the rhetorical parser is not a singleton. Different rhetorical structure trees are generated from one text. Unfortunately, the result of the generated summary is not equivalent for those trees, and the correctness of the result is affected...

This paper focuses on areas of overlap between linguistic and rhetorical analyses of Paul’s Letter to the Galatians. The question is raised whether and to what extent conclusions drawn from a text immanent linguistic approach, on the one hand, and those drawn from rhetorical analyses, on the other, are compatible and mutually supportive. Using Galatians as sample text, the author compares three...

This paper describes a study of the levels at which different rhetorical relations occur in rhetorical structure trees. In a previous empirical study (Williams and Reiter, 2003) of the RST-DT (Rhetorical Structure Theory Discourse Treebank) Corpus (Carlson et al., 2003), we noticed that certain rhetorical relations tended to occur more frequently at higher levels in a rhetorical structure tree,...

The paper presents RetFig, a formal domain ontology of rhetorical figures for Serbian. This ontology is one of the necessary steps in developing tools for Natural Language Processing in the Serbian language, especially for tools pertinent to discourse analysis, sentiment analysis and opinion mining. The RetFig ontology was developed taking into account a plethora of rhetorical figures in the mo...

Most text displays an internal coherence structure, which can be analyzed as a tree structure of relations that hold between short segments of text. We present a machinelearning governed approach to such an analysis in the framework of Rhetorical Structure Theory. Our rhetorical analyzer observes a variety of textual properties, such as cue phrases, part-of-speech information, rhetorical contex...

Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of rhetorical relations to address redundancy problem in text summarization. We first examined and redefined the type of rhetorical relations th...

Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of rhetorical relations to address redundancy problem for cluster-based text summarization of multiple documents. We exploited rhetorical relati...

Social media provides a platform for seeking information from a large user base. Information seeking in social media, however, occurs simultaneously with users expressing their viewpoints by making statements. Rhetorical questions have the form of a question but serve the function of a statement and might mislead platforms assisting information seeking in social media. It becomes difficult to i...

Rhetorical structure analysis (RSA) explores discourse relations among elementary discourse units (EDUs) in a text. It is very useful in many text processing tasks employing relationships among EDUs such as text understanding, summarization, and question-answering. Thai language with its distinctive linguistic characteristics requires a unique technique. This article proposes an approach for Th...