8 citations · 15 across the 14 of their papers we have counts for
7 papers · 1 filter
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…