abstract although flourishing research has been devoted to research on article abstracts, more studies are needed to unpack the relationship between rhetorical moves and their associated linguistic and rhetorical features (e.g., metadiscourse). to underpin this relationship, the current study analyzed a total of 60 research article abstracts written in english by two cultural groups in three di...

One of the stylistic features of Hafez’s sonnets is the repetition of a part of the meaning of the first line in the second line. His knowledge of the rhetorical and semantic relations of vocabularies enabled him to repeat the meaning with the least verbal repetition. One of the ways that has helped him to achieve this goal is replicating the concepts in two parts of the couplet based on rhetor...

Abstract Although flourishing research has been devoted to research on article abstracts, more studies are needed to unpack the relationship between rhetorical moves and their associated linguistic and rhetorical features (e.g., metadiscourse). To underpin this relationship, the current study analyzed a total of 60 research article abstracts written in English by two cultural groups in three di...

Studies on rhetorical features of language have reported both enhancing and adverse effects on ease of processing. We hypothesized that two explanations may account for these inconclusive findings. First, the respective gains and losses in ease of processing may apply to different dimensions of language processing (specifically, prosodic and semantic processing) and different types of fluency (...

In this paper, we propose a novel idea for applying probabilistic graphical models for automatic text summarization task related to a legal domain. Identification of rhetorical roles present in the sentences of a legal document is the important text mining process involved in this task. A Conditional Random Field (CRF) is applied to segment a given legal document into seven labeled components a...

The rhetorical classification of sentences in biomedical texts is an important task in the recognition of the components of a scientific argument. Generating supervised machine learned models to do this recognition requires corpora annotated for the rhetorical categories Introduction (or Background), Method, Result, Discussion (or Conclusion). Currently, a few, small annotated corpora exist. We...

In this paper, we propose a machine learning approach to rhetorical role identification from legal documents. In our approach, we annotate roles in sample documents with the help of legal experts and take them as training data. Conditional random field model has been trained with the data to perform rhetorical role identification with reinforcement of rich feature sets. The understanding of str...

This work aims to explore the correlation between the discourse structure of a spoken monologue and its prosody by predicting discourse relations from different prosodic attributes. For this purpose, a corpus of semi-spontaneous monologues in English has been automatically annotated according to the Rhetorical Structure Theory, which models coherence in text via rhetorical relations. From corre...

in German – deutsche Zusammenfassung 91