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 …
Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications
N Mulla, P Gharpure - Progress in Artificial Intelligence, 2023 - Springer
Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …
helpful tool for chatbots for generating interesting questions as also for automating the …
Storybuddy: A human-ai collaborative chatbot for parent-child interactive storytelling with flexible parental involvement
Despite its benefits for children's skill development and parent-child bonding, many parents
do not often engage in interactive storytelling by having story-related dialogues with their …
do not often engage in interactive storytelling by having story-related dialogues with their …
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition
A challenging issue in the field of the automatic recognition of emotion from speech is the
efficient modelling of long temporal contexts. Moreover, when incorporating long-term …
efficient modelling of long temporal contexts. Moreover, when incorporating long-term …
A survey on multi-hop question answering and generation
The problem of Question Answering (QA) has attracted significant research interest for long.
Its relevance to language understanding and knowledge retrieval tasks, along with the …
Its relevance to language understanding and knowledge retrieval tasks, along with the …
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books
Existing question answering (QA) techniques are created mainly to answer questions asked
by humans. But in educational applications, teachers often need to decide what questions …
by humans. But in educational applications, teachers often need to decide what questions …
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 …
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 …
Synthetic data augmentation for zero-shot cross-lingual question answering
Coupled with the availability of large scale datasets, deep learning architectures have
enabled rapid progress on the Question Answering task. However, most of those datasets …
enabled rapid progress on the Question Answering task. However, most of those datasets …
Chaincqg: Flow-aware conversational question generation
Conversational systems enable numerous valuable applications, and question-answering is
an important component underlying many of these. However, conversational question …
an important component underlying many of these. However, conversational question …