-Presented is the approach to the design of Virtual Information Space for a virtual/real university based upon the paradigms of intellectual software agent, multi-agent system, dynamic task-oriented agent community. Virtual Information Space is proposed as the unifying concept for the design of the distributed intelligent distant learning facilities. The particularity of the framework presented...

The black-box nature of neural models has motivated a line research that aims to generate natural language rationales explain why model made certain predictions. Such rationale generation models, date, have been trained on dataset-specific crowdsourced rationales, but this approach is costly and not generalizable new tasks domains. In paper, we investigate the extent which can reason about pred...

background : studies have shown a gradual decline in empathy of medical trainees with increasing years of education. methods to augment empathy show some promise, but the most effective methods are both expensive and time consuming.to assess effectiveness of communication skills training program as a distant learning method in improving empathy.   method s: fourteen first year residents of psyc...

Nine universities started a project in autumn 2001 with the aim to develop an interuniversity postgraduate program in Construction Information Technology. The program is intended to be offered to students on most of the partner universities. On some of them it should start already in the academic year 2003/2004. The students will attend the subjects in different ways: face-to-face at home unive...

Supervised methods can achieve high performance on NLP tasks, such as Named Entity Recognition (NER), but new annotations are required for every new domain and/or genre change. This has motivated research in minimally supervised methods such as semisupervised learning and distant learning, but neither technique has yet achieved performance levels comparable to those of supervised methods. Semi-...

In a comparison setting (two stimuli), we tested 4and 6-yearold children’s generalization of novel names for objects. We manipulated the semantic distance between the two learning items (e.g., two bracelets versus a bracelet and a watch), and the semantic distance between the learning items and the test items (e.g., a pendant versus a bow tie). We tested whether smaller semantic distance betwee...

Supervised machine learning methods have been widely used in relation extraction that finds the relation between two named entities in a sentence. However, their disadvantages are that constructing training data is a cost and time consuming job, and the machine learning system is dependent on the domain of the training data. To overcome these disadvantages, we construct a weakly labeled data se...