The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results

Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Emily Pitler, Leo Wanner


Abstract
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. As in its English-only predecessor task SR’11, the shared task comprised two tracks with different levels of complexity: (a) a shallow track where the inputs were full UD structures with word order information removed and tokens lemmatised; and (b) a deep track where additionally, functional words and morphological information were removed. The shallow track was offered in ten, and the deep track in three languages. Systems were evaluated (a) automatically, using a range of intrinsic metrics, and (b) by human judges in terms of readability and meaning similarity. This report presents the evaluation results, along with descriptions of the SR’18 tracks, data and evaluation methods. For full descriptions of the participating systems, please see the separate system reports elsewhere in this volume.
Anthology ID:
W18-3601
Original:
W18-3601v1
Version 2:
W18-3601v2
Volume:
Proceedings of the First Workshop on Multilingual Surface Realisation
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Simon Mille, Anja Belz, Bernd Bohnet, Emily Pitler, Leo Wanner
Venue:
ACL
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–12
Language:
URL:
https://aclanthology.org/W18-3601
DOI:
10.18653/v1/W18-3601
Bibkey:
Cite (ACL):
Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Emily Pitler, and Leo Wanner. 2018. The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results. In Proceedings of the First Workshop on Multilingual Surface Realisation, pages 1–12, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results (Mille et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-3601.pdf
Data
Universal Dependencies