We address two key challenges in end-to-end event coreference resolution research: (1) the error propagation problem, where an event coreference resolver has to assume as input the noisy outputs produced by its upstream components in the standard information extraction (IE) pipeline; and (2) the data annotation bottleneck, where manually annotating data for all the components in the IE pipeline...

Most work on unsupervised entailment rule acquisition focused on rules between templates with two variables, ignoring unary rules entailment rules between templates with a single variable. In this paper we investigate two approaches for unsupervised learning of such rules and compare the proposed methods with a binary rule learning method. The results show that the learned unary rule-sets outpe...

abstract introduction: nowadays, a variety of different methods are employed to improve learning particularly in teaching to medical students. one of the factors affecting in learning is making the students active in teaching activities. preparation of question through students is one of these ways to make the students active in learning, which was the main aim of this study. methods and materi...

We describe a unified active transfer learning framework called Hierarchical Active Transfer Learning (HATL). HATL exploits cluster structure shared between different data domains to perform transfer learning by imputing labels for unlabeled target data and to generate effective label queries during active learning. The resulting framework is flexible enough to perform not only adaptive transfe...

In systematic reviews, the growing number of published studies imposes a significant screening workload on reviewers. Active learning is a promising approach to reduce the workload by automating some of the screening decisions, but it has been evaluated for a limited number of disciplines. The suitability of applying active learning to complex topics in disciplines such as social science has no...

this research aimed to investigate the learning organization characteristics in environmental non-governmental organizations (engos) in tehran city using the watkins and marsick’s seven dimensional learning organization model. the research method was descriptive- correlation and used survey method. the population consisted of all active members on engos in tehran city.  using bartlett’s (2011) ...

OBJECTIVE To develop an advanced diagnostic method for urinary bladder tumour grading. A novel soft computing modelling methodology based on the augmentation of fuzzy cognitive maps (FCMs) with the unsupervised active Hebbian learning (AHL) algorithm is applied. MATERIAL AND METHODS One hundred and twenty-eight cases of urinary bladder cancer were retrieved from the archives of the Department...

A framework is presented for unsupervised learning of representations based on infomax principle for large-scale neural populations. We use an asymptotic approximation to the Shannon’s mutual information for a large neural population to demonstrate that a good initial approximation to the global information-theoretic optimum can be obtained by a hierarchical infomax method. Starting from the in...

background and purpose: two important clinical education methods are problem-based and student-centered. however, education of “clinical decision-making skills” and “application of clinical knowledge” is important. usually training these cases is done in small groups . in this study, new method of scientific textbooks with four factors mentioned above has been implemented in large education gro...