Question Generation (QG) and Question Answering (QA) are some of the many challenges for natural language understanding and interfaces. As humans need to ask good questions, the potential benefits from automated QG systems may assist them in meeting useful inquiry needs. In this paper, we consider an automatic Sentence-to-Question generation task, where given a sentence, the Question Generation...

this paper represents a complete survey on generation companies’ (gencos’) optimal bidding strategy problem in restructured power markets. in this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...

In hopes of helping students become more active and intellectually engaged learners while conducting physics experiments, a multiple-choice question-generation learning strategy was introduced to supplement traditional lab reports on the premise that only a fairly minor modification of traditional laboratory exercises was required. In total 39 university freshmen participated in the study durin...

Many Automatic Question Generation (AQG) approaches have been proposed focusing on reading comprehension support; however, none of them addressed academic writing. We conducted a large-scale case study with 25 supervisors and 36 research students enroled in an Engineering Research Method course. We investigated trigger questions, as a form of feedback, produced by supervisors, and how they supp...

We propose a generative machine comprehension model that learns jointly to ask and answer questions based on documents. The proposed model uses a sequence-to-sequence framework that encodes the document and generates a question (answer) given an answer (question). Significant improvement in model performance is observed empirically on the SQuAD corpus, confirming our hypothesis that the model b...

This paper presents an automatic question pattern generation method for ontology-based question answering with the use of textual entailment. In this method, a set of question patterns, called predictive questions, which are predicted to be asked by users in a domain, were generated on the basis of a domain ontology. Their corresponding query templates, which can be used to extract answers to t...

We study the problem of joint question answering (QA) and question generation (QG) in this paper. Our intuition is that QA and QG have intrinsic connections and these two tasks could improve each other. On one side, the QAmodel judges whether the generated question of a QG model is relevant to the answer. On the other side, the QG model provides the probability of generating a question given th...

Visual question generation aims to generate high-quality questions related images. Generating based only on images can better reduce labor costs and thus be easily applied. However, their methods tend similar general that fail ask about the specific content of each image scene. In this paper, we propose a category-guided visual model with multiple categories focus different objects in an image....

Low voltage microgrids including sensitive loads often face unbalanced load conditions. Therefore, a compensation procedure should be carried out in order to balance and restore sensitive load’s voltage. In this paper, an effective voltage control strategy has been proposed for the autonomous operation of microgrids, under unbalanced load conditions.  The proposed strategy balances single-phase...