90 citations · 205 across the 21 of their papers we have counts for
7 papers · 1 filter
Quantifying the amount of visual information used by neural caption generators
Marc Tanti, Albert Gatt, Kenneth P. Camilleri
This paper addresses the sensitivity of neural image caption generators to their visual input. A sensitivity analysis and omission analysis based on image foils is reported, showin…
Pre-gen metrics: Predicting caption quality metrics without generating captions
Marc Tanti, Albert Gatt, Adrian Muscat
Image caption generation systems are typically evaluated against reference outputs. We show that it is possible to predict output quality without generating the captions, based on…
Specificity measures and reference
Albert Gatt, Nicolás Marín, Gustavo Rivas-Gervilla +1
In this paper we study empirically the validity of measures of referential success for referring expressions involving gradual properties. More specifically, we study the ability o…
Meteorologists and Students: A resource for language grounding of geographical descriptors
Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter +2
We present a data resource which can be useful for research purposes on language grounding tasks in the context of geographical referring expression generation. The resource is com…
Making effective use of healthcare data using data-to-text technology
Steffen Pauws, Albert Gatt, Emiel Krahmer +1
Healthcare organizations are in a continuous effort to improve health outcomes, reduce costs and enhance patient experience of care. Data is essential to measure and help achieving…
Grounded Textual Entailment
Hoa Trong Vu, Claudio Greco, Aliia Erofeeva +6
Capturing semantic relations between sentences, such as entailment, is a long-standing challenge for computational semantics. Logic-based models analyse entailment in terms of poss…