The phrase "a set of discourse" is not commonly used in written English and may sound awkward.
It can be used when referring to a collection or group of discussions or conversations on a particular topic, but it is more typical to use "discourse" in a broader sense without "set."
Example: "The conference featured a set of discourse on climate change, bringing together experts from various fields."
Alternatives: "a collection of discussions" or "a series of dialogues".
Thus, e.g., the context in this sense could be a set of discourse referents or files.
While associating Seediq focus/voice morphology with the movement of the trigger, Holmer clarifies that the movement is not caused by the focus/voice morphology, but by a set of discourse factors including the definiteness and referentiality of the trigger.
Wu et al. [ 17] manually collected a set of discourse connectives to identify cause-effect relations from psychiatric consultation records.
A set of discourse connectives based on the results of previous studies [ 16, 17] was created to select causality sentences from the online psychiatric texts.
For each data set, a set of discourse connectives collected based on the results of previous studies [ 16, 17], were used to select causality sentence pairs.
Modeling discourse management shapes in-class discourse by providing instructors with a set of discourse management tools to guide students so that authentic science discourse occurs.
Suppose we view an information state as a pair of a finite set of discourse referents and a set of world/assignment pairs, where the assignments have as domain the given set of referents.
The 27 participants in the experiment, who were all adult native speakers of Mandarin Chinese from northern China, were asked to write completions for a set of short discourses, in which the first word of the second sentence was provided as a prompt, as seen in examples 4 and 5 below.
Although discourse connectives are useful features for identifying causality, the difficulty inherent in collecting a complete set of discourse connectives may result in this approach failing to identify the cause-effect relations triggered by unknown discourse connectives.
While, in semantic networks, total degree centrality represents the popularity of a concept and betweenness centrality represents the links between two different thematic areas, the combination of these two measures has the potential to uncover more subtle structural properties of concepts and thus a set of changes in discourse over time.
Other parameters characterizing a conversation at a given point include the domain of discourse, a set of salient perceptible objects, standards of precision, time, world or situation, speaker, and addressee.
