14 citations · 36 across the 9 of their papers we have counts for
5 papers · 1 filter
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Shuang Ao, Stefan Rueger, Advaith Siddharthan
Despite the impressive capability of large language models (LLMs), knowing when to trust their generations remains an open challenge. The recent literature on uncertainty quantific…
Textual Summarisation of Large Sets: Towards a General Approach
Kittipitch Kuptavanich, Ehud Reiter, Kees Van Deemter +1
We are developing techniques to generate summary descriptions of sets of objects. In this paper, we present and evaluate a rule-based NLG technique for summarising sets of bibliogr…
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan +1
This paper tackles the problem of automatically labelling sentiment-bearing topics with descriptive sentence labels. We propose two approaches to the problem, one extractive and th…
Summarising Historical Text in Modern Languages
Xutan Peng, Yi Zheng, Chenghua Lin +1
We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language. This is a fundamental…
WordNet-feelings: A linguistic categorisation of human feelings
Advaith Siddharthan, Nicolas Cherbuin, Paul J. Eslinger +3
In this article, we present the first in depth linguistic study of human feelings. While there has been substantial research on incorporating some affective categories into linguis…