Signaling of relations is an open question in rhetorical structure theory. Discourse markers are the unmistakable signals of a relation. However, it may be argued that all relations – and not only those involving discourse markers – are signaled in some way. Based on this assumption, this article focuses on two causal relations, ‘Cause’ and ‘Result’, working on an RST double-annotated corpus in Spanish. The main objectives are to identify different signals of Cause and Result relations and to evaluate the (...) ambiguity resulting from those signals. Results demonstrate that a) almost all Cause and Result relations on the corpus are signaled; b) each signal obtains differentiated annotation agreements; and c) patterns of annotation disagreement are grounded in the nature of the signal and not in the relations’ semantic features. (shrink)

The proposed multilevel framework of discourse comprehension includes the surface code, the textbase, the situation model, the genre and rhetorical structure, and the pragmatic communication level. We describe these five levels when comprehension succeeds and also when there are communication misalignments and comprehension breakdowns. A computer tool has been developed, called Coh-Metrix, that scales discourse (oral or print) on dozens of measures associated with the first four discourse levels. The measurement of these levels with an automated tool helps researchers track (...) and better understand multilevel discourse comprehension. Two sets of analyses illustrate the utility of Coh-Metrix in discourse theory and educational practice. First, Coh-Metrix was used to measure the cohesion of the text base and situation model, as well as potential extraneous variables, in a sample of published studies that manipulated text cohesion. This analysis helped us better understand what was precisely manipulated in these studies and the implications for discourse comprehension mechanisms. Second, Coh-Metrix analyses are reported for samples of narrative and science texts in order to advance the argument that traditional text difficulty measures are limited because they fail to accommodate most of the levels of the multilevel discourse comprehension framework. (shrink)