@inproceedings{grishina-stede-2017-multi,
title = "Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities",
author = "Grishina, Yulia and
Stede, Manfred",
editor = "Ogrodniczuk, Maciej and
Ng, Vincent",
booktitle = "Proceedings of the 2nd Workshop on Coreference Resolution Beyond {O}nto{N}otes ({CORBON} 2017)",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-1506",
doi = "10.18653/v1/W17-1506",
pages = "41--50",
abstract = "In this paper, we examine the possibility of using annotation projection from multiple sources for automatically obtaining coreference annotations in the target language. We implement a multi-source annotation projection algorithm and apply it on an English-German-Russian parallel corpus in order to transfer coreference chains from two sources to the target side. Operating in two settings {--} a low-resource and a more linguistically-informed one {--} we show that automatic coreference transfer could benefit from combining information from multiple languages, and assess the quality of both the extraction and the linking of target coreference mentions.",
}
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%0 Conference Proceedings
%T Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities
%A Grishina, Yulia
%A Stede, Manfred
%Y Ogrodniczuk, Maciej
%Y Ng, Vincent
%S Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017)
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F grishina-stede-2017-multi
%X In this paper, we examine the possibility of using annotation projection from multiple sources for automatically obtaining coreference annotations in the target language. We implement a multi-source annotation projection algorithm and apply it on an English-German-Russian parallel corpus in order to transfer coreference chains from two sources to the target side. Operating in two settings – a low-resource and a more linguistically-informed one – we show that automatic coreference transfer could benefit from combining information from multiple languages, and assess the quality of both the extraction and the linking of target coreference mentions.
%R 10.18653/v1/W17-1506
%U https://aclanthology.org/W17-1506
%U https://doi.org/10.18653/v1/W17-1506
%P 41-50
Markdown (Informal)
[Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities](https://aclanthology.org/W17-1506) (Grishina & Stede, CORBON 2017)
ACL