In this paper, we compare three differ- ent neural architectures for question generation across two types of reading material: narratives and textbooks.
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It is crucial for improving educational materials, assessment systems and chatbot interactions by generating diverse and contextually relevant questions [2, 3,5�...
Feb 28, 2024 � In this survey, we present a detailed examination of the advancements in Neural Question Generation (NQG), a field leveraging neural network techniques to�...
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In this project, we aim to do a quantitative and qualitative comparison of the performance of different neural network architectures on the task of�...
Oct 31, 2023 � This review summarizes the advancements in NQG between 2016 and early 2022. The focus is on the development of NQG for educational purposes.
Automatic question generation, which aims at converting sentences in an article to high-quality questions, is an important task for educational practices.
A first step in the task of automatically generating questions for testing reading comprehension is to identify question- worthy sentences, i.e. sentences�...
A thorough investigation and comparison of two transformer architectures are undertaken utilizing conventional lexical overlap metrics such as BLEU, ROUGE�...
A two-step model (HTA-WTA) that takes advantage of previous datasets, and can generate questions for a specific targeted comprehension skill,�...
Sep 23, 2022 � Automated question generation is an impor- tant approach to enable personalisation of En- glish comprehension assessment. Recently,.
