@inproceedings{el-khbir-etal-2022-arabie,
title = "{A}rab{IE}: Joint Entity, Relation and Event Extraction for {A}rabic",
author = "El Khbir, Niama and
Tomeh, Nadi and
Charnois, Thierry",
editor = "Bouamor, Houda and
Al-Khalifa, Hend and
Darwish, Kareem and
Rambow, Owen and
Bougares, Fethi and
Abdelali, Ahmed and
Tomeh, Nadi and
Khalifa, Salam and
Zaghouani, Wajdi",
booktitle = "Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wanlp-1.31",
doi = "10.18653/v1/2022.wanlp-1.31",
pages = "331--345",
abstract = "Previous work on Arabic information extraction has mainly focused on named entity recognition and very little work has been done on Arabic relation extraction and event recognition. Moreover, modeling Arabic data for such tasks is not straightforward because of the morphological richness and idiosyncrasies of the Arabic language. We propose in this article the first neural joint information extraction system for the Arabic language.",
}
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%0 Conference Proceedings
%T ArabIE: Joint Entity, Relation and Event Extraction for Arabic
%A El Khbir, Niama
%A Tomeh, Nadi
%A Charnois, Thierry
%Y Bouamor, Houda
%Y Al-Khalifa, Hend
%Y Darwish, Kareem
%Y Rambow, Owen
%Y Bougares, Fethi
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Khalifa, Salam
%Y Zaghouani, Wajdi
%S Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F el-khbir-etal-2022-arabie
%X Previous work on Arabic information extraction has mainly focused on named entity recognition and very little work has been done on Arabic relation extraction and event recognition. Moreover, modeling Arabic data for such tasks is not straightforward because of the morphological richness and idiosyncrasies of the Arabic language. We propose in this article the first neural joint information extraction system for the Arabic language.
%R 10.18653/v1/2022.wanlp-1.31
%U https://aclanthology.org/2022.wanlp-1.31
%U https://doi.org/10.18653/v1/2022.wanlp-1.31
%P 331-345
Markdown (Informal)
[ArabIE: Joint Entity, Relation and Event Extraction for Arabic](https://aclanthology.org/2022.wanlp-1.31) (El Khbir et al., WANLP 2022)
ACL