8 citations · 15 across the 14 of their papers we have counts for
14 papers
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…
Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions
Michele Cafagna, Kees van Deemter, Albert Gatt
Image captioning models tend to describe images in an object-centric way, emphasising visible objects. But image descriptions can also abstract away from objects and describe the t…
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset
Guanyi Chen, Fahime Same, Kees van Deemter
Previous work on Neural Referring Expression Generation (REG) all uses WebNLG, an English dataset that has been shown to reflect a very limited range of referring expression (RE) u…
Understanding the Use of Quantifiers in Mandarin
Guanyi Chen, Kees van Deemter
We introduce a corpus of short texts in Mandarin, in which quantified expressions figure prominently. We illustrate the significance of the corpus by examining the hypothesis (know…
The Role of Explanatory Value in Natural Language Processing
Kees van Deemter
A key aim of science is explanation, yet the idea of explaining language phenomena has taken a backseat in mainstream Natural Language Processing (NLP) and many other areas of Arti…
Semeval-2022 Task 1: CODWOE -- Comparing Dictionaries and Word Embeddings
Timothee Mickus, Kees van Deemter, Mathieu Constant +1
Word embeddings have advanced the state of the art in NLP across numerous tasks. Understanding the contents of dense neural representations is of utmost interest to the computation…
Evaluating Automatic Difficulty Estimation of Logic Formalization Exercises
Alexandra Mayn, Kees van Deemter
Teaching logic effectively requires an understanding of the factors which cause logic students to struggle. Formalization exercises, which require the student to produce a formula…
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems
Fahime Same, Guanyi Chen, Kees van Deemter
In recent years, neural models have often outperformed rule-based and classic Machine Learning approaches in NLG. These classic approaches are now often disregarded, for example wh…
What Vision-Language Models `See' when they See Scenes
Michele Cafagna, Kees van Deemter, Albert Gatt
Images can be described in terms of the objects they contain, or in terms of the types of scene or place that they instantiate. In this paper we address to what extent pretrained V…