Context-Aware auto-encoded graph neural model for dynamic question generation using NLP
Question generation is an important task in natural language processing that involves
generating questions from a given text. This paper proposes a novel approach for dynamic …
generating questions from a given text. This paper proposes a novel approach for dynamic …
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text
F Qamar, S Latif, R Latif - ar** network for automatic quiz question annotation
J Wang, H Li, X Du, JL Hung, S Yang - Journal of King Saud University …, 2023 - Elsevier
Quiz question annotation aims to assign the most relevant knowledge point to a question,
which is a key technology to support intelligent education applications. However, the …
which is a key technology to support intelligent education applications. However, the …
Unlocking the heterogeneous landscape of big data NLP with DUUI
Automatic analysis of large corpora is a complex task, especially in terms of time efficiency.
This complexity is increased by the fact that flexible, extensible text analysis requires the …
This complexity is increased by the fact that flexible, extensible text analysis requires the …
Are mutated misinformation more contagious? a case study of covid-19 misinformation on twitter
The spread of online misinformation has become a major global risk. Understanding how
misinformation propagates on social media is vital. While prior studies suggest that the …
misinformation propagates on social media is vital. While prior studies suggest that the …
A new weighted ensemble model-based method for text implication recognition
H Zhao, J Zhu, W Deng - Multimedia Tools and Applications, 2024 - Springer
In the context of text entailment recognition, there exists a risk of getting stuck in local optima
when using a single pretrained model. To address this issue and improve the accuracy of …
when using a single pretrained model. To address this issue and improve the accuracy of …
Enhancing yes/no question answering with weak supervision via extractive question answering
The effectiveness of natural language processing models relies on various factors, including
the architecture, number of parameters, data used during training, and the tasks they were …
the architecture, number of parameters, data used during training, and the tasks they were …