Rhetorical structure theory (RST) is widely used for discourse understanding, which represents a discourse as a hierarchically semantic structure. In this paper, we propose a novel translation framework with the help of RST. In our framework, the translation process mainly includes three steps: 1) Source RST-tree acquisition: a source sentence is parsed into an RST tree; 2) Rule extraction: tra...

Rhetorical Structure Theory has enjoyed continuous attention since its origins in the 1980s. It has been applied, compared to other approaches, and also criticized in a number of areas in discourse analysis, theoretical linguistics, psycholinguistics, and computational linguistics. In this paper, we review some of the discussions about the theory itself, especially addressing issues of the reli...

Representing a document as a bag-of-words and using keywords to retrieve relevant documents have seen a great success in large scale information retrieval systems such as Web search engines. Bag-of-words representation is computationally efficient and with proper term weighting and document ranking methods can perform surprisingly well for a simple document representation method. However, such ...

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...

Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of thi...

Coherent texts are not just simple sequences of clauses and sentences, but rather complex artifacts that have highly elaborate rhetorical structure. This paper explores the extent to which well-formed rhetorical structures can be automatically derived by means of surface-form-based algorithms. These algorithms identify discourse usages of cue phrases and break sentences into clauses, hypothesiz...

Polarity estimation in large-scale and multi-topic domains is a difficult issue. Most state-of-the-art solutions essentially rely on frequencies of sentiment-carrying words (e.g., taken from a lexicon) when analyzing the sentiment conveyed by natural language text. These approaches ignore the structural aspects of a document, which contain valuable information. Rhetorical Structure Theory (RST)...

Many lawyers lack a basic understanding of the structure and process of legal argumentation. Their limited understanding, which often leads to less than effective advocacy, stems from legal education's failure to make the structure and process of legal argument explicit and systematic. One approach to this problem is to explore the intrinsic relationship of law to rhetoric. Because law and rhet...