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 …
[HTML][HTML] 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 …
Just ask: Learning to answer questions from millions of narrated videos
Recent methods for visual question answering rely on large-scale annotated datasets.
Manual annotation of questions and answers for videos, however, is tedious, expensive and …
Manual annotation of questions and answers for videos, however, is tedious, expensive and …
Asking questions the human way: Scalable question-answer generation from text corpus
The ability to ask questions is important in both human and machine intelligence. Learning
to ask questions helps knowledge acquisition, improves question-answering and machine …
to ask questions helps knowledge acquisition, improves question-answering and machine …
Learning to generate questions by learningwhat not to generate
Automatic question generation is an important technique that can improve the training of
question answering, help chatbots to start or continue a conversation with humans, and …
question answering, help chatbots to start or continue a conversation with humans, and …
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 …
Learning to answer visual questions from web videos
Recent methods for visual question answering rely on large-scale annotated datasets.
Manual annotation of questions and answers for videos, however, is tedious, expensive and …
Manual annotation of questions and answers for videos, however, is tedious, expensive and …
Generating diverse and consistent QA pairs from contexts with information-maximizing hierarchical conditional VAEs
One of the most crucial challenges in question answering (QA) is the scarcity of labeled
data, since it is costly to obtain question-answer (QA) pairs for a target text domain with …
data, since it is costly to obtain question-answer (QA) pairs for a target text domain with …
Capturing greater context for question generation
Automatic question generation can benefit many applications ranging from dialogue
systems to reading comprehension. While questions are often asked with respect to long …
systems to reading comprehension. While questions are often asked with respect to long …
Multi-hop question answering
Abstract The task of Question Answering (QA) has attracted significant research interest for a
long time. Its relevance to language understanding and knowledge retrieval tasks, along …
long time. Its relevance to language understanding and knowledge retrieval tasks, along …