10 citations · 19 across the 4 of their papers we have counts for
6 papers
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang, Can Xu, Huang Hu +5
Sequence-to-Sequence (S2S) neural text generation models, especially the pre-trained ones (e.g., BART and T5), have exhibited compelling performance on various natural language gen…
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
Yufei Wang, Ian D. Wood, Stephen Wan +1
Novel Object Captioning is a zero-shot Image Captioning task requiring describing objects not seen in the training captions, but for which information is available from external ob…
Towards Generating Stylized Image Captions via Adversarial Training
Omid Mohamad Nezami, Mark Dras, Stephen Wan +2
While most image captioning aims to generate objective descriptions of images, the last few years have seen work on generating visually grounded image captions which have a specifi…
Image Captioning using Facial Expression and Attention
Omid Mohamad Nezami, Mark Dras, Stephen Wan +1
Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual descriptions. For the m…
How to best use Syntax in Semantic Role Labelling
Yufei Wang, Mark Johnson, Stephen Wan +2
There are many different ways in which external information might be used in an NLP task. This paper investigates how external syntactic information can be used most effectively in…
Senti-Attend: Image Captioning using Sentiment and Attention
Omid Mohamad Nezami, Mark Dras, Stephen Wan +1
There has been much recent work on image captioning models that describe the factual aspects of an image. Recently, some models have incorporated non-factual aspects into the capti…