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 …

Question answering with deep neural networks for semi-structured heterogeneous genealogical knowledge graphs

O Suissa, M Zhitomirsky-Geffet, A Elmalech - Semantic Web, 2022 - journals.sagepub.com
With the rising popularity of user-generated genealogical family trees, new genealogical
information systems have been developed. State-of-the-art natural question answering …

RTRL: Relation-aware Transformer with Reinforcement Learning for deep question generation

H Zeng, B Wei, J Liu - Knowledge-Based Systems, 2024 - Elsevier
Deep question generation is an important yet challenging NLP task where a multi-step
reasoning chain connecting multiple documents is required to answer the questions. In this …

Graph-Enhanced Question Generation with Question Type Prediction and Statement Recovery

S Chen, S Shi, W Jiang - Proceedings of the 7th International Conference …, 2023 - dl.acm.org
Question Generation (QG) is an essential task in natural language processing, which aims to
generate grammatical questions for given sentences or paragraphs. This task focuses on …

Neural Question Generation

M Urra Gorospe - 2021 - upcommons.upc.edu
Question generation attempts to generate a natural language question given a passage and
an answer. Most state-of-the-art methods have focused on generating simple questions …

Modern Autonomous Driving

Y Zhou - 2021 - search.proquest.com
The field of autonomous driving is moving faster than ever, thanks to deep learning (DL)
techniques. As most research focuses on technical perspectives such as perception and …