A review on question generation from natural language text
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 …
which aims to generate natural and relevant questions from various input formats, eg …
End-to-end synthetic data generation for domain adaptation of question answering systems
We propose an end-to-end approach for synthetic QA data generation. Our model comprises
a single transformer-based encoder-decoder network that is trained end-to-end to generate …
a single transformer-based encoder-decoder network that is trained end-to-end to generate …
Improving unsupervised question answering via summarization-informed question generation
Question Generation (QG) is the task of generating a plausible question for a given<
passage, answer> pair. Template-based QG uses linguistically-informed heuristics to …
passage, answer> pair. Template-based QG uses linguistically-informed heuristics to …
[HTML][HTML] Influence of online E-commerce interaction on consumer satisfaction based on big data algorithm
L Li, L Yuan, J Tian - Heliyon, 2023 - cell.com
With the rapid development of the times, people have entered the era of intelligence, and the
application of big data algorithms is becoming increasingly widespread. The satisfaction of …
application of big data algorithms is becoming increasingly widespread. The satisfaction of …
Question generation for reading comprehension assessment by modeling how and what to ask
B Ghanem, LL Coleman, JR Dexter… - arXiv preprint arXiv …, 2022 - arxiv.org
Reading is integral to everyday life, and yet learning to read is a struggle for many young
learners. During lessons, teachers can use comprehension questions to increase …
learners. During lessons, teachers can use comprehension questions to increase …
[HTML][HTML] QAScore—an unsupervised unreferenced metric for the question generation evaluation
Question Generation (QG) aims to automate the task of composing questions for a passage
with a set of chosen answers found within the passage. In recent years, the introduction of …
with a set of chosen answers found within the passage. In recent years, the introduction of …
Learning to generate question by asking question: A primal-dual approach with uncommon word generation
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 …
passage and an answer. Most existing AQG methods aim at encoding the passage and the …
Iterative GNN-based decoder for question generation
Natural question generation (QG) aims to generate questions from a passage, and
generated questions are answered from the passage. Most models with state-of-the-art …
generated questions are answered from the passage. Most models with state-of-the-art …
Learning to traverse over graphs with a Monte Carlo tree search-based self-play framework
The combinatorial optimization (CO) problems on the graph are the core and classic
problems in artificial intelligence (AI) and operations research (OR). For example, the …
problems in artificial intelligence (AI) and operations research (OR). For example, the …
Syntax-guided question generation using prompt learning
Question generation (QG) aims to generate natural questions from relevant input. Existing
state-of-the-art QG approaches primarily leverage pre-trained language models (PLMs) to …
state-of-the-art QG approaches primarily leverage pre-trained language models (PLMs) to …