In this paper, we present the JUCSE system, designed for the TempEval-3 shared task. The system extracts events and temporal information from natural text in English. We have participated in all the tasks of TempEval-3, namely Task A, Task B & Task C. We have primarily utilized the Conditional Random Field (CRF) based machine learning technique, for all the above tasks. Our system seems to perf...

There is an extensive literature on task modelling related to the design of computer systems. Task analysis and task modelling have been widely recognized as central components in human-centred approaches. The aim of this paper is to report on some results of a worldwide survey about actual practices of task descriptions languages (TDL) in SIGCHI community. Results suggest that academic TDL are...

Many-Task Computing (MTC) is a widely used computing paradigm for large-scale task-parallel processing. One of the key issues in MTC is to schedule a large number of independent tasks onto heterogeneous resources. Traditional task-level scheduling heuristics, like Min-Min, Sufferage and MaxStd, cannot readily be applied in this scenario. As most of MTC tasks are usually fine-grained, the resour...

the necessity and importance of teaching pragmatics has come to light by many researchers (e.g. rose & kasper, 2001). due to the consensus over the need to teach pragmatic competence, the main issue now centers on the question of how we should teach this competence in the most effective way. consistent with this line of research, the present study aimed to investigate the effectiveness of d...

This article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of English as a foreign language (EFL). The study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...

This paper focuses on the effects of activating expected self as compared to the effects of activating the ought self. The expected self is a component of self-knowledge that pertains to the perception of one's capabilities and potentials. Two experimental studies compared participants' task performance after manipulating the momentary accessibility of the expected self vs. the ought self. In S...

This paper describes a prototype of a simulaled physics student that learns by interacting with a human tutor. The system solves physics problems while showing its work on a work· station screen, and the tutor can intervene at cenain points during problem·solving to advise the simulaled studenL This prototype constitutes an initial cognitive task analysis of the skill of learning from a tutor, ...

The apparent difficulty that humans experience when asked to manage dynamic complexity might be related to their inability to discriminate among familiar classes of objects (i.e., flawed recognition). In this study we examined the change in individuals’ recognition ability, as measured by the change in the similarity of decisions they made when confronted repeatedly with consistent dynamic situ...

the present study was conducted to compare the effect of individual and group pre-task planning on efl learners’ accuracy and complexity in speaking. to fulfill the purpose of the study, 60 intermediate female learners at the first grade of high school were chosen by means of a sample preliminary english test (pet) and randomly divided into two experimental groups of 30 students; the individual...