32 citations · 119 across the 25 of their papers we have counts for
34 papers
KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph
Yanbei Jiang, Krista A. Ehinger, Jey Han Lau
Exploring the narratives conveyed by fine-art paintings is a challenge in image captioning, where the goal is to generate descriptions that not only precisely represent the visual…
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin +3
Negation is poorly captured by current language models, although the extent of this problem is not widely understood. We introduce a natural language inference (NLI) test suite to…
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Zijian Zhang, Chang Shu, Ya Xiao +7
Visual-Semantic Embedding (VSE) aims to learn an embedding space where related visual and semantic instances are close to each other. Recent VSE models tend to design complex struc…
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation
Yulia Otmakhova, Hung Thinh Truong, Timothy Baldwin +3
In this paper we report on our submission to the Multidocument Summarisation for Literature Review (MSLR) shared task. Specifically, we adapt PRIMERA (Xiao et al., 2022) to the bio…
Unsupervised Lexical Substitution with Decontextualised Embeddings
Takashi Wada, Timothy Baldwin, Yuji Matsumoto +1
We propose a new unsupervised method for lexical substitution using pre-trained language models. Compared to previous approaches that use the generative capability of language mode…
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
Shiquan Yang, Xinting Huang, Jey Han Lau +1
Data artifacts incentivize machine learning models to learn non-transferable generalizations by taking advantage of shortcuts in the data, and there is growing evidence that data a…