In this paper, we present a machine learning system for identifying non-referential it. Types of non-referential it are examined to determine relevant linguistic patterns. The patterns are incorporated as features in a machine learning system which performs a binary classification of it as referential or non-referential in a POS-tagged corpus. The selection of relevant, generalized patterns lea...

There is a sharp increase in depression females mid-adolescence, but we do not understand why. Cognitive theories suggest that people with have negative biases recalling self-referential information. We tested whether recall were more girls early and mid-adolescence associated depressive symptoms. 315 young 263 mid-adolescents (11-12 13-15 years) completed surprise test, assessing of social eva...

A two-step optimization strategy for relational schemas that contains a class of inclusion dependencies is described. Both steps take into account additional information that indicates how to preserve each inclusion dependency in the presence of insertions an‘d deletioy. The first step eliminates inclusion dependencies which are redundant with respect to both the semantics of the data and the b...

During a narrative discourse, accessibility of the referents is rarely fixed once and for all. Rather, each referent varies in accessibility as the discourse unfolds, depending on the presence and prominence of the other referents. This leads the speaker to use various referential expressions to refer to the main protagonists of the story at different moments in the narrative. This study relies...

connor et al. (2008) mention “specifying textual requirements of genres” (p.12) as one of the reasons which have motivated researchers in the analysis of writing. members of each genre should be able to produce and retrieve these textual requirements appropriately to be considered communicatively proficient. one of the textual requirements of genres is regularities of specific forms and content...

Self-referential processing has been principally investigated using functional magnetic resonance imaging (fMRI). However, understanding of the brain functioning is not possible without careful comparison of the evidence coming from different methodological domains. This paper aims to review electroencephalographic (EEG) studies of self-referential processing and to evaluate how they correspond...