8 citations · 9 across the 5 of their papers we have counts for
5 papers
You Are What You Write: Preserving Privacy in the Era of Large Language Models
Richard Plant, Valerio Giuffrida, Dimitra Gkatzia
Large scale adoption of large language models has introduced a new era of convenient knowledge transfer for a slew of natural language processing tasks. However, these models also…
Task2Dial: A Novel Task and Dataset for Commonsense enhanced Task-based Dialogue Grounded in Documents
Carl Strathearn, Dimitra Gkatzia
This paper proposes a novel task on commonsense-enhanced task-based dialogue grounded in documents and describes the Task2Dial dataset, a novel dataset of document-grounded task-ba…
CAPE: Context-Aware Private Embeddings for Private Language Learning
Richard Plant, Dimitra Gkatzia, Valerio Giuffrida
Deep learning-based language models have achieved state-of-the-art results in a number of applications including sentiment analysis, topic labelling, intent classification and othe…
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek +8
We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indicator o…
An Ensemble method for Content Selection for Data-to-text Systems
Dimitra Gkatzia, Helen Hastie
We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selection…