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 …
Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning
Developing artificial learning systems that can understand and generate natural language
has been one of the long-standing goals of artificial intelligence. Recent decades have …
has been one of the long-standing goals of artificial intelligence. Recent decades have …
A survey of methods, datasets and evaluation metrics for visual question answering
Abstract Visual Question Answering (VQA) is a multi-disciplinary research problem that has
captured the attention of both computer vision as well as natural language processing …
captured the attention of both computer vision as well as natural language processing …
[HTML][HTML] Situational Data Integration in Question Answering systems: a survey over two decades
MH Franciscatto, LC Erpen de Bona, C Trois… - … and Information Systems, 2024 - Springer
Question Answering (QA) systems provide accurate answers to questions; however, they
lack the ability to consolidate data from multiple sources, making it difficult to manage …
lack the ability to consolidate data from multiple sources, making it difficult to manage …
Multi-hop question generation using hierarchical encoding-decoding and context switch mechanism
Neural auto-regressive sequence-to-sequence models have been dominant in text
generation tasks, especially the question generation task. However, neural generation …
generation tasks, especially the question generation task. However, neural generation …
Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot
The utility of collocating robots largely depends on the easy and intuitive interaction
mechanism with the human. If a robot accepts task instruction in natural language, first, it has …
mechanism with the human. If a robot accepts task instruction in natural language, first, it has …
Goal-driven visual question generation from radiology images
Visual Question Generation (VQG) from images is a rising research topic in both fields of
natural language processing and computer vision. Although there are some recent efforts …
natural language processing and computer vision. Although there are some recent efforts …
Machine-to-Machine Visual Dialoguing with ChatGPT for Enriched Textual Image Description
Image captioning is a technique that enables the automatic extraction of natural language
descriptions about the contents of an image. On the one hand, information in the form of …
descriptions about the contents of an image. On the one hand, information in the form of …
Diversity learning based on multi-latent space for medical image visual question generation
Auxiliary clinical diagnosis has been researched to solve unevenly and insufficiently
distributed clinical resources. However, auxiliary diagnosis is still dominated by human …
distributed clinical resources. However, auxiliary diagnosis is still dominated by human …
So Many Heads, So Many Wits: Multimodal Graph Reasoning for Text-Based Visual Question Answering
W Zheng, L Yan, FY Wang - IEEE Transactions on Systems …, 2023 - ieeexplore.ieee.org
While texts related to images convey fundamental messages for scene understanding and
reasoning, text-based visual question answering tasks concentrate on visual questions that …
reasoning, text-based visual question answering tasks concentrate on visual questions that …