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 …

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 …

Multi-task learning (MTL) has become increasingly popular in natural language processing
(NLP) because it improves the performance of related tasks by exploiting their …

To generate" accurate" scene graphs, almost all exist-ing methods predict pairwise
relationships in a determin-istic manner. However, we argue that visual relationshipsare …

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 …

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 …

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 …

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 (VQG) task aims to generate meaningful and logically
reasonable questions about the given image targeting an answer. Existing methods mainly …

Visual question generation task aims to generate meaningful questions about an image
targeting an answer. Existing methods focus on the visual concepts in the image for question …