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 …
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 …
Contrastive learning for neural topic model
Recent empirical studies show that adversarial topic models (ATM) can successfully capture
semantic patterns of the document by differentiating a document with another dissimilar …
semantic patterns of the document by differentiating a document with another dissimilar …
Improving neural cross-lingual abstractive summarization via employing optimal transport distance for knowledge distillation
Current state-of-the-art cross-lingual summarization models employ multi-task learning
paradigm, which works on a shared vocabulary module and relies on the self-attention …
paradigm, which works on a shared vocabulary module and relies on the self-attention …
Unsupervised multi-hop question answering by question generation
Obtaining training data for multi-hop question answering (QA) is time-consuming and
resource-intensive. We explore the possibility to train a well-performed multi-hop QA model …
resource-intensive. We explore the possibility to train a well-performed multi-hop QA model …
Educational question generation of children storybooks via question type distribution learning and event-centric summarization
Generating educational questions of fairytales or storybooks is vital for improving children's
literacy ability. However, it is challenging to generate questions that capture the interesting …
literacy ability. However, it is challenging to generate questions that capture the interesting …
Review on neural question generation for education purposes
Questioning plays a vital role in education, directing knowledge construction and assessing
students' understanding. However, creating high-level questions requires significant …
students' understanding. However, creating high-level questions requires significant …
Enriching and controlling global semantics for text summarization
Recently, Transformer-based models have been proven effective in the abstractive
summarization task by creating fluent and informative summaries. Nevertheless, these …
summarization task by creating fluent and informative summaries. Nevertheless, these …
Synthesize, prompt and transfer: Zero-shot conversational question generation with pre-trained language model
Conversational question generation aims to generate questions that depend on both context
and conversation history. Conventional works utilizing deep learning have shown promising …
and conversation history. Conventional works utilizing deep learning have shown promising …