8 citations · 15 across the 14 of their papers we have counts for
13 papers · 1 filter
My Life in Artificial Intelligence: People, anecdotes, and some lessons learnt
Kees van Deemter
In this very personal workography, I relate my 40-year experiences as a researcher and educator in and around Artificial Intelligence (AI), more specifically Natural Language Proce…
Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases
Yuqi Liu, Guanyi Chen, Kees van Deemter
Theoretical linguists have suggested that some languages (e.g., Chinese and Japanese) are "cooler" than other languages based on the observation that the intended meaning of phrase…
Intrinsic Task-based Evaluation for Referring Expression Generation
Guanyi Chen, Fahime Same, Kees van Deemter
Recently, a human evaluation study of Referring Expression Generation (REG) models had an unexpected conclusion: on \textsc{webnlg}, Referring Expressions (REs) generated by the st…
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…
Models of reference production: How do they withstand the test of time?
Fahime Same, Guanyi Chen, Kees van Deemter
In recent years, many NLP studies have focused solely on performance improvement. In this work, we focus on the linguistic and scientific aspects of NLP. We use the task of generat…
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP
Anya Belz, Craig Thomson, Ehud Reiter +39
We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…