@inproceedings{dione-2020-lfg,
title = "From {LFG} To {UD}: A Combined Approach",
author = "Dione, Cheikh M. Bamba",
editor = "de Marneffe, Marie-Catherine and
de Lhoneux, Miryam and
Nivre, Joakim and
Schuster, Sebastian",
booktitle = "Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.udw-1.7",
pages = "57--66",
abstract = "This paper reports on a systematic approach for deriving Universal Dependencies from LFG structures. The conversion starts with a step-wise transformation of the c-structure, combining part-of-speech (POS) information and the embedding path to determine the true head of dependency structures. The paper discusses several issues faced by existing algorithms when applied on Wolof and presents the strategies used to account for these issues. An experimental evaluation indicated that our approach was able to generate the correct output in more than 90{\%} of the cases, leading to a substantial improvement in conversion accuracy compared to the previous models.",
}
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%0 Conference Proceedings
%T From LFG To UD: A Combined Approach
%A Dione, Cheikh M. Bamba
%Y de Marneffe, Marie-Catherine
%Y de Lhoneux, Miryam
%Y Nivre, Joakim
%Y Schuster, Sebastian
%S Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain (Online)
%F dione-2020-lfg
%X This paper reports on a systematic approach for deriving Universal Dependencies from LFG structures. The conversion starts with a step-wise transformation of the c-structure, combining part-of-speech (POS) information and the embedding path to determine the true head of dependency structures. The paper discusses several issues faced by existing algorithms when applied on Wolof and presents the strategies used to account for these issues. An experimental evaluation indicated that our approach was able to generate the correct output in more than 90% of the cases, leading to a substantial improvement in conversion accuracy compared to the previous models.
%U https://aclanthology.org/2020.udw-1.7
%P 57-66
Markdown (Informal)
[From LFG To UD: A Combined Approach](https://aclanthology.org/2020.udw-1.7) (Dione, UDW 2020)
ACL
- Cheikh M. Bamba Dione. 2020. From LFG To UD: A Combined Approach. In Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), pages 57–66, Barcelona, Spain (Online). Association for Computational Linguistics.