Matching a question to its best answer is a common task in community question answering. In this paper, we focus on the non-factoid questions and aim to pick out the best answer from its candidate answers. Most of the existing deep models directly measure the similarity between question and answer by their individual sentence embeddings. In order to tackle the problem of the information lack in...

This paper describes a computational method of complexity of a question for an adaptive question and answer function in an intelligent support system for English learning, and its evaluation. To realize adaptive question and answer, systems should generate questions depending on both educational intentions and learner's understanding state. For generating suitable questions for a learner automa...

Previous studies have shown that motivating students to learn about local area network (LAN) design can be difficult when presented in the traditional lecture format. To overcome this problem, a Web-based tool (“WebLan-Designer”) was developed as an aid to teaching and learning of LAN design at introductory level. WebLan-Designer provides a set of learning resources (tutorials, quizzes, network...

A category used by de Paiva to model linear logic also occurs in Vojtáš’s analysis of cardinal characteristics of the continuum. Its morphisms have been used in describing reductions between search problems in complexity theory. We describe this category and how it arises in these various contexts. We also show how these contexts suggest certain new multiplicative connectives for linear logic. ...

“Academia 2.0” is a proposal to organize scientific publishing around true peer-to-peer distributed dissemination channels and eliminate the traditional role of the academic publisher. This model will be first presented at the 2014 workshop on Rproducible Research Methodologies and New Publication Models in Computer Engineering (TRUST’14) in the form of a high-level overview, so as to stimulate...

We propose a strategy for the semiautomatic generation of learning material for reading-comprehension tests, guided by semantic relations embedded in expository texts. Our approach combines methods from the areas of information extraction and paraphrasing in order to present a language teacher with a set of candidate multiple-choice questions and answers that can be used for verifying a languag...

In this paper we propose a taxonomy for classifying COTS business applications, i.e. products that are used in the daily functioning of all types of organizations worldwide, such as ERP systems and document management tools. We propose the identification of characterization attributes to arrange the domains which these products belong to, and also we group these domains into categories. We defi...

We consider the problem of identifying an unknown value x ∈ {1,2, . . . , n} by asking “Yes–No” questions about x. The goal is to minimize the number of questions required in the worst case, taking into account that no more than B questions may receive answer “Yes” and no more than E answers may be erroneous. We consider two versions of this problem: the discrete and the continuous version. In ...