Conditional Random Fields for Responsive Surface Realisation using Global Features

Surface Realisation Using Full Delexicalisation

Surface realisation (SR) maps a meaning representation to a sentence and can be viewed as consisting of three subtasks: word ordering, morphological inflection and contraction generation (e.g., clitic attachment in Portu…

Portuguese Text Generation from Large Corpora

In the implementation of a surface realisation engine, many of the computational techniques seen in other AI fields have been widely applied. Among these, the use of statistical methods has been particularly successful, …

Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields

Automated surface segmentation is important and challenging in many medical image analysis applications. Recent deep learning based methods have been developed for various object segmentation tasks. Most of them are a cl…

LORIA / Lorraine University at Multilingual Surface Realisation 2019

This paper presents the LORIA / Lorraine University submission at the Multilingual Surface Realisation shared task 2019 for the shallow track. We outline our approach and evaluate it on 11 languages covered by the shared…

Surface Realisation from Knowledge-Bases