The Use of Referential Context and Grammatical Gender in Parsing: A Reply to Brysbaert and Mitchell (2000)

Based on the results of an event-related brain potentials (ERP) experiment (van Berkum, Brown, & Hagoort. 1999a, b), we have recently argued that discourse-level referential context can be taken into account extremely rapidly by the parser. Moreover, our ERP results indicated that local grammatical gender information, although available within a few hundred milliseconds from word onset, is not always used quickly enough to prevent the parser from considering a discourse-supported, but agreement-violating, syntactic analysis. In a comment on our work, Brysbaert and Mitchell (2000) have raised concerns about the methodology of our ERP experiment and have challenged our interpretation of the results. In this reply, we argue that these concerns are unwarranted and, that, in contrast to our own interpretation, the alternative explanations provided by Brysbaert and Mitchell do not account for the full pattern of ERP results.     

Modeling pedagogical interactions with machine learning

Zusammenfassung. Dieser Artikel beschreibt einen Ansatz zur Codierung und Analyse pädagogischer Interaktionen zwischen Lernenden und Experten im Bereich der Luftfahrt-Technik im Rahmen einer intelligenten tutoriellen Lernumgebung zur Fehlererkennung und -behebung (Sherlock 2). Es werden zwei prototypische maschinelle Lernverfahren dargestellt, welche bei der Analyse eines Corpus von Dialogprotokollen eingesetzt werden. Die Verfahren generieren der Diskursstruktur möglichst gut entsprechende Grammatiken. Die gefundenen Grammatiken führten zu neuen Einsichten hinsichtlich der Funktion bestimmter Sprechakte in tutoriellen Dialogen sowie zu klaren und präzisen Modellen von Erklärungsdialogen bei Diagnoseproblemen. Summary. This paper describes our approach to coding pedagogical interactions that took place between avionics students and domain experts in an ITS for electronic troubleshooting called Sherlock 2. We also describe prototype machine learning systems that we developed to learn grammars of discourse structure. The grammars revealed instructional functions of particular speech acts that we had not been aware of, and provided concise models of explanations common in diagnostic tasks.     

Factors affecting psychological well-being of three groups of suicide-prone prisoners

Being imprisoned appears to lead some individuals to commit suicide whereas others appear to suffer little stress. Previous research has identified three groups of male prisoners (young remand, young sentenced and those serving life sentences) where the incidence of suicide is high. The present study examined institutional and individual factors that were related to levels of anxiety, depression and psychological well-being within these groups. A psychiatric history, religious faith, feelings of guilt, lack of close friends outside prison, or disinclination to take part in sport, training or hobbies were found to be associated with high levels of anxiety, depression and psychological morbidity. So too were the severity of environmental hassles and worries. The implications of these findings are discussed.     

Discourse Before Gender: An Event-Related Brain Potential Study on the Interplay of Semantic and Syntactic Information During Spoken Language Understanding

A study is presented on the effects of discourse–semantic and lexical–syntactic information during spoken sentence processing. Event-related brain potentials (ERPs) were registered while subjects listened to discourses that ended in a sentence with a temporary syntactic ambiguity. The prior discourse–semantic information biased toward one analysis of the temporary ambiguity, whereas the lexical-syntactic information allowed only for the alternative analysis. The ERP results show that discourse–semantic information can momentarily take precedence over syntactic information, even if this violates grammatical gender agreement rules.     

Empiricism,fideism and the nature of religious belief

Earlier versions of this paper were read to the Departments of Philosophy at the University of New Brunswick and at Saint Francis Xavier University and to the Canadian Societh for the Study of Religion at Queen’s University, Kingston. The authors wish to thank the participants for their comments.     

Mood variability and the intensity of depressive states

Little is known about the relationship between the variability of moods and the tendency to experience depressed mood. The moods of twenty-five student subjects were measured over a period of some 30 days using scales assessing positive affect and negative affect. An index of mood variability was computed. This was correlated with two measures of average level of depression. The results showed a strong correlation between variability of moods and level of depression. High levels of mood variability accompanied high levels of depressive state in this nonclinical sample.