90 citations · 205 across the 21 of their papers we have counts for
5 papers · 1 filter
What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?
Marc Tanti, Albert Gatt, Kenneth P. Camilleri
In neural image captioning systems, a recurrent neural network (RNN) is typically viewed as the primary `generation' component. This view suggests that the image features should be…
An Empirical Approach for Modeling Fuzzy Geographical Descriptors
Alejandro Ramos-Soto, Jose M. Alonso, Ehud Reiter +2
We present a novel heuristic approach that defines fuzzy geographical descriptors using data gathered from a survey with human subjects. The participants were asked to provide grap…
Morphological Analysis for the Maltese Language: The Challenges of a Hybrid System
Claudia Borg, Albert Gatt
Maltese is a morphologically rich language with a hybrid morphological system which features both concatenative and non-concatenative processes. This paper analyses the impact of t…
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt, Emiel Krahmer
This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is…
Where to put the Image in an Image Caption Generator
Marc Tanti, Albert Gatt, Kenneth P. Camilleri
When a recurrent neural network language model is used for caption generation, the image information can be fed to the neural network either by directly incorporating it in the RNN…