The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...

The latest work for Question and Answer problems is to use the Stanford Parse Tree. We build on prior develop a new method handle problem with Deep Contextualized Transformer manage some aberrant expressions. also conduct extensive evaluations of SQuAD SwDA dataset show significant improvement over QA classification industry needs. investigate impact different models accuracy efficiency answers...

Abstract Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from web resources. Assessment is most important in any learning system. An assessment system can find self-learning gaps of and improve progress learning. The manual question generation takes much time labor. Therefore, automatic resources primary task an automated This paper p...