A review on question generation from natural language text

R Zhang, J Guo, L Chen, Y Fan, X Cheng - ACM Transactions on …, 2021 - dl.acm.org
Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Multimodal pretraining, adaptation, and generation for recommendation: A survey

Q Liu, J Zhu, Y Yang, Q Dai, Z Du, XM Wu… - Proceedings of the 30th …, 2024 - dl.acm.org
Personalized recommendation serves as a ubiquitous channel for users to discover
information tailored to their interests. However, traditional recommendation models primarily …

Learning to generate question by asking question: A primal-dual approach with uncommon word generation

Q Wang, L Yang, X Quan, F Feng, D Liu… - Proceedings of the …, 2022 - aclanthology.org
Automatic question generation (AQG) is the task of generating a question from a given
passage and an answer. Most existing AQG methods aim at encoding the passage and the …

Contextual knowledge learning for dialogue generation

W Zheng, N Milic-Frayling, K Zhou - arXiv preprint arXiv:2305.18200, 2023 - arxiv.org
Incorporating conversational context and knowledge into dialogue generation models has
been essential for improving the quality of the generated responses. The context, comprising …

HACAN: a hierarchical answer-aware and context-aware network for question generation

R Sun, H Tao, Y Chen, Q Liu - Frontiers of Computer Science, 2024 - Springer
Question Generation (QG) is the task of generating questions according to the given
contexts. Most of the existing methods are based on Recurrent Neural Networks (RNNs) for …

Exploring Answer Information Methods for Question Generation with Transformers

T Chafekar, A Hussain, G Sharma… - arXiv preprint arXiv …, 2023 - arxiv.org
There has been a lot of work in question generation where different methods to provide
target answers as input, have been employed. This experimentation has been mostly carried …

[PDF][PDF] Santiago Segarra

S Segarra - 2023 - repository.rice.edu
Recent technology developments are rapidly bringing new innovations to many fields but
education. Indeed, since the Prussia educational revolution [233] that largely shaped the …

Towards Personalized Human Learning at Scale: A Machine Learning Approach

Z Wang - 2023 - search.proquest.com
This thesis focuses on personalized learning in education, a promising and effective means
of learning where the instructions, educational materials, learning paths, analytics, and …