Question generation is the parallel task of question answering, where given an input context and optionally, answer, goal to generate a relevant fluent natural language question. Although recent works on have experienced success by utilizing sequence-to-sequence models, there need for models handle increasingly complex contexts with producing elaborate questions. Multi-hop more challenging that...

In e-commerce portals, generating answers for product-related questions has become a crucial task. this article, we focus on the task of product-aware answer generation , which learns to generate an accurate and complete from large-scale unlabeled reviews product attributes. However, safe problems (i.e., neural models tend meaningless universal answers) pose significant challenges text tasks, q...

This paper is about creation of Multiple Choice Questions (MCQ) using Natural Language Processing Techniques. In natural language processing we used T5 text transformer model for creating question and WordNet or Sense2vec are to generate distractors. The result should be displayed the user Gradio interface. research will very useful in educational sectors conducting Computer Based Test Examinat...