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 …
Chatgpt asks, blip-2 answers: Automatic questioning towards enriched visual descriptions
Asking insightful questions is crucial for acquiring knowledge and expanding our
understanding of the world. However, the importance of questioning has been largely …
understanding of the world. However, the importance of questioning has been largely …
Conditional generation net for medication recommendation
Medication recommendation targets to provide a proper set of medicines according to
patients' diagnoses, which is a critical task in clinics. Currently, the recommendation is …
patients' diagnoses, which is a critical task in clinics. Currently, the recommendation is …
All you may need for vqa are image captions
Visual Question Answering (VQA) has benefited from increasingly sophisticated models, but
has not enjoyed the same level of engagement in terms of data creation. In this paper, we …
has not enjoyed the same level of engagement in terms of data creation. In this paper, we …
Quiz-style question generation for news stories
A large majority of American adults get at least some of their news from the Internet. Even
though many online news products have the goal of informing their users about the news …
though many online news products have the goal of informing their users about the news …
Eqg-race: Examination-type question generation
Question Generation (QG) is an essential component of the automatic intelligent tutoring
systems, which aims to generate high-quality questions for facilitating the reading practice …
systems, which aims to generate high-quality questions for facilitating the reading practice …
Multi-hop question generation with graph convolutional network
Multi-hop Question Generation (QG) aims to generate answer-related questions by
aggregating and reasoning over multiple scattered evidence from different paragraphs. It is …
aggregating and reasoning over multiple scattered evidence from different paragraphs. It is …
Syn-QG: Syntactic and shallow semantic rules for question generation
Question Generation (QG) is fundamentally a simple syntactic transformation; however,
many aspects of semantics influence what questions are good to form. We implement this …
many aspects of semantics influence what questions are good to form. We implement this …
Multi-hop question generation with knowledge graph-enhanced language model
The task of multi-hop question generation (QG) seeks to generate questions that require a
complex reasoning process that spans multiple sentences and answers. Beyond the …
complex reasoning process that spans multiple sentences and answers. Beyond the …
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 …