Sentiment Analysis tools often rely on counts of sentiment-carrying words, ignoring structural aspects of content. Natural Language Processing has been fruitfully exploited in Text Mining, but advanced discourse processing is still non pervasive for mining opinions. Some studies, however, extracted opinions based on the discursive role of text segments. The merits of such computationally intens...

We present the results of several machine learning tasks designed to predict rhetorical relations that hold between clauses in discourse. We demonstrate that organizing rhetorical relations into different granularity categories (based on relative degree of detail) increases average prediction accuracy from 58% to 70%. Accuracy further increases to 80% with the inclusion of clause types. These r...

The goal of this paper is to challenge some of tile assumptions that have been inherent in much of the research on discourse relations, especially that which has gone on in the context of text planning. The primary assumption has been that there is only one set of relations, encompassing structural, rhetorical, and intentional information. The second assumption is that these relations only oper...

Both rhetorical structure and punctuation have been helpful in discourse processing. Based on a corpus annotation project, this paper reports the discursive usage of 6 Chinese punctuation marks in news commentary texts: Colon, Dash, Ellipsis, Exclamation Mark, Question Mark, and Semicolon. The rhetorical patterns of these marks are compared against patterns around cue phrases in general. Result...

This short paper describes our ongoing work on representing the argument structure of a particular class of persuasive texts, and on reading experiments designed to investigate the effects of certain rhetorical devices, in particular the use of explicit argumentative connectives.

The aim of this research is to provide a principled account of the generation of embedded constructions (called parentheticals) and to implement the results in a natural language generation system. Parenthetical constructions are frequently used in texts written in a good writing style and have an important role in text understanding. We propose a framework to model the rhetorical properties of...

The goal of this research was to find a way to extend the capabilities of computers through the processing of language in a more human way, and present applications which demonstrate the power of this method. This research presents a novel approach, Rhetorical Analysis, to solving problems in Natural Language Processing (NLP). The main benefit of Rhetorical Analysis, as opposed to previous appr...

Rhetorical figures, which are frequently applied in advertisements, can add literary flavor to the texts, gratify audiences’ aesthetic needs, and deepen their impression. In advertisement translation, it is very common that the rhetorical figures applied in the original text are replaced with new ones in the translation. This research focuses on rhetorical figures’ function of enhancing audienc...

Thus, the content-determination and rhetorical planning functions are not integrated in AlethGen, but separated in two different sub-modules. On one hand, Ale thGen ' s Rhetorical planner produces surface rhetorical representation (not intermediate, as for example in RST [Mann & Thompson 88]). On the need for surface rhetorical representation, see [Coch & David 94]. On the other hand, Rhetorica...

Scholarly attention to Colossians in the recent past has included attention to the nature of the Colossian heresy,1 the hymn to Christ in Col. 1:15-20,2 and the literary style of Colossians generally.3 Although rhetorical studies of Colossians have appeared, comprehensive rhetorical studies which consider the letter’s invention, arrangement, and style have been few in number.4 The current artic...