no code implementations • WS 2019 • Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Leo Wanner
We report results from the SR{'}19 Shared Task, the second edition of a multilingual surface realisation task organised as part of the EMNLP{'}19 Workshop on Multilingual Surface Realisation.
no code implementations • WS 2019 • Anja Belz, Richard Hoile, Elizabeth Ford, Azam Mullick
Approaches to knowledge extraction (KE) in the health domain often start by annotating text to indicate the knowledge to be extracted, and then use the annotated text to train systems to perform the KE.
1 code implementation • WS 2018 • Anja Belz, Adrian Muscat, Pierre Anguill, Mouhamadou Sow, Ga{\'e}tan Vincent, Yassine Zinessabah
The dataset incorporates (i) the labelled object bounding boxes from VOC2008, (ii) geometrical, language and depth features for each object, and (iii) for each pair of objects in both orders, (a) the single best preposition and (b) the set of possible prepositions in the given language that describe the spatial relationship between the two objects.
no code implementations • WS 2018 • Simon Mille, Anja Belz, Bernd Bohnet, Leo Wanner
In this paper, we present the datasets used in the Shallow and Deep Tracks of the First Multilingual Surface Realisation Shared Task (SR{'}18).
no code implementations • WS 2018 • Br Birmingham, on, Adrian Muscat, Anja Belz
Detection of spatial relations between objects in images is currently a popular subject in image description research.
no code implementations • WS 2018 • Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Emily Pitler, Leo Wanner
We report results from the SR{'}18 Shared Task, a new multilingual surface realisation task organised as part of the ACL{'}18 Workshop on Multilingual Surface Realisation.
no code implementations • WS 2017 • Simon Mille, Bernd Bohnet, Leo Wanner, Anja Belz
We propose a shared task on multilingual Surface Realization, i. e., on mapping unordered and uninflected universal dependency trees to correctly ordered and inflected sentences in a number of languages.
no code implementations • WS 2016 • Julie Pain, Jessie Levacher, Adam Quinquenel, Anja Belz
We describe the corpus of 125, 669 tweets we have created and annotated to train and test the tools.
no code implementations • LREC 2014 • Helen Hastie, Anja Belz
We start with presenting a categorisation framework, giving an overview of different categories of evaluation measures, in order to provide standard terminology for categorising existing and new evaluation techniques.
no code implementations • LREC 2012 • Eric Kow, Anja Belz
In this paper we describe the LG-Eval toolkit for creating online language evaluation experiments.
no code implementations • LREC 2012 • Anja Belz, Albert Gatt
Starting in 2007, the field of natural language generation (NLG) has organised shared-task evaluation events every year, under the Generation Challenges umbrella.