Distant supervision significantly reduces human efforts in building training data for many classification tasks. While promising, this technique often introduces noise to the generated training data, which can severely affect the model performance. In this paper, we take a deep look at the application of distant supervision in relation extraction. We show that the dynamic transition matrix can ...

The report of two cases of chest and kidney infections reminds of the possibility of distant infections caused by thrombophlebitic complications of cholesteatoma. Deep neck infection, mediastinitis, pleural empyema, pulmonary abscesses and hematogenic microabscesses of kidney have been proved by clinical, radiologic and laboratory examinations in two cholesteatoma patients. The clinical c...

Nowadays, there is a big discussion about two different topics: how distance learning and the old fashioned learning can be improved using the new technologies. In both cases, there are many collaborative tools based on the web infrastructure such as e-mail, web discussing groups, virtual campuses or audio and video conferences, that basically give a way of exchanging information among the diff...

This paper presents the Mário Schenberg Spaceship, a Virtual Reality (VR) based collaborative learning environment for Astronomy, Science and Physics learning. The installation has a spaceshiplike scenario, where a group of learners experiment an adventure in space. Learners interact with six workstations to play a collaborative but not competitive game. The goal of the game is to complete a mi...

This paper uses the ‘learning economy’ as an analytical framework to discuss how the process of European integration affects National Systems of Innovation. European integration is described as a process of institutional learning. It is argued that European integration will not do away with national systems of innovation in Europe and that only a very partial European System of Innovation in a ...

Many manifold learning algorithms utilize graphs of local neighborhoods to estimate manifold topology. When neighborhood connections short-circuit between geodesically distant regions of the manifold, poor results are obtained due to the compromises that the manifold learner must make to satisfy the erroneous criteria. Also, existing manifold learning algorithms have difficulty unfolding manifo...

In this paper we present LeCo-EAD a Learning Companion System for distance education in computer science. LeCo-EAD includes multiple virtual learning companions that have different behaviours and are always available to interact with distant students. We show how a web-based distance course that adapts both its navigation support (links) and strategy (type of learning companion) to the student,...

We demonstrate that the evolution of facial recognition in wasps is associated with specialized face-learning abilities. Polistes fuscatus can differentiate among normal wasp face images more rapidly and accurately than nonface images or manipulated faces. A close relative lacking facial recognition, Polistes metricus, however, lacks specialized face learning. Similar specializations for face l...