A review on question generation from natural language text

R Zhang, J Guo, L Chen, Y Fan, X Cheng - ACM Transactions on …, 2021 - dl.acm.org
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 …

Cross-modal text and visual generation: A systematic review. Part 1: Image to text

M Żelaszczyk, J Mańdziuk - Information Fusion, 2023 - Elsevier
We review the existing literature on generating text from visual data under the cross-modal
generation umbrella, which affords us to compare and contrast various approaches taking …

A survey of multi-task learning in natural language processing: Regarding task relatedness and training methods

Z Zhang, W Yu, M Yu, Z Guo, M Jiang - arXiv preprint arXiv:2204.03508, 2022 - arxiv.org
Multi-task learning (MTL) has become increasingly popular in natural language processing
(NLP) because it improves the performance of related tasks by exploiting their …

Probabilistic modeling of semantic ambiguity for scene graph generation

G Yang, J Zhang, Y Zhang, B Wu… - Proceedings of the …, 2021 - openaccess.thecvf.com
To generate" accurate" scene graphs, almost all exist-ing methods predict pairwise
relationships in a determin-istic manner. However, we argue that visual relationshipsare …

On the importance of diversity in question generation for QA

MA Sultan, S Chandel, RF Astudillo… - Proceedings of the 58th …, 2020 - aclanthology.org
Automatic question generation (QG) has shown promise as a source of synthetic training
data for question answering (QA). In this paper we ask: Is textual diversity in QG beneficial …

Difficulty-controllable multi-hop question generation from knowledge graphs

V Kumar, Y Hua, G Ramakrishnan, G Qi, L Gao… - The Semantic Web …, 2019 - Springer
Abstract Knowledge graphs have become ubiquitous data sources and their utility has been
amplified by the research on ability to answer carefully crafted questions over knowledge …

Storytelling from an image stream using scene graphs

R Wang, Z Wei, P Li, Q Zhang, X Huang - Proceedings of the AAAI …, 2020 - aaai.org
Visual storytelling aims at generating a story from an image stream. Most existing methods
tend to represent images directly with the extracted high-level features, which is not intuitive …

Visual question generation from remote sensing images

L Bashmal, Y Bazi, F Melgani, R Ricci… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Visual question generation (VQG) is a fundamental task in vision-language understanding
that aims to generate relevant questions about the given input image. In this article, we …

[PDF][PDF] Towards Visual Question Answering on Pathology Images.

X He - Proceedings of the 59th annual meeting of the …, 2021 - par.nsf.gov
Pathology imaging is broadly used for identifying the causes and effects of diseases or
injuries. Given a pathology image, being able to answer questions about the clinical findings …

The dialog must go on: Improving visual dialog via generative self-training

GC Kang, S Kim, JH Kim, D Kwak… - Proceedings of the …, 2023 - openaccess.thecvf.com
Visual dialog (VisDial) is a task of answering a sequence of questions grounded in an
image, using the dialog history as context. Prior work has trained the dialog agents solely on …