We apply three generations of geometrically convergent adaptive Monte Carlo algorithms to solve a model transport problem with severe heterogeneities in energy. In the first generation algorithms an arbitrarily precise solution of the transport equation is sought pointwise. In the second generation algorithms the solution is represented more economically as a vector of regionwise averages over ...

In online learning systems, tagging knowledge points for questions is a fundamental task. Automatic technology uses intelligent algorithms to automatically tag reduce manpower and time costs. However, the current point cannot satisfy situation that mathematics often involve variable number of points, lacks consideration characteristics field, ignores internal connection between points. To addre...

The First Shared Task Evaluation Challenge on Question Generation took place in 2010 as part of the 3 workshop on Question Generation. The campaign included two tasks: Question Generation from Sentences and Question Generation from Paragraphs. This status report briefly summarizes the motivation, tasks and results. Lessons learned relevant to future QG-STECs are also offered.

Multiple choice questions play an important role in training and evaluating biomedical science students. However, the resource intensive nature of question generation limits their open availability, reducing their contribution to evaluation purposes mainly. Although applied-knowledge questions require a complex formulation process, the creation of concrete-knowledge questions (i.e., definitions...

The existence of Rhodnius robustus as a species distinct from Rhodnius prolixus has long been the main epidemiological question about Chagas disease transmission in Venezuela and surrounding countries. These two taxa are morphologically and genetically very similar, but only R. prolixus is assumed to colonize houses and transmit Chagas disease to humans. R. robustus is assumed to be an exclusiv...

Linked Data has emerged as the most widely used and the most powerful knowledge source for Question Answering (QA). Although Question Answering using Linked Data (QALD) fills in many gaps in the traditional QA models, the answers are still presented as factoids. This research introduces an answer presentation model for QALD by employing Natural Language Generation (NLG) to generate natural lang...