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    <abstract>Most existing proposals about anaphoric zero pronoun (AZP) resolution regard full mention coreference and AZP resolution as two independent tasks, even though the two tasks are clearly related. The main issues that need tackling to develop a joint model for zero and non-zero mentions are the difference between the two types of arguments (zero pronouns, being null, provide no nominal information) and the lack of annotated datasets of a suitable size in which both types of arguments are annotated for languages other than Chinese and Japanese. In this paper, we introduce two architectures for jointly resolving AZPs and non-AZPs, and evaluate them on Arabic, a language for which, as far as we know, there has been no prior work on joint resolution. Doing this also required creating a new version of the Arabic subset of the standard coreference resolution dataset used for the CoNLL-2012 shared task (Pradhan et al.,2012) in which both zeros and non-zeros are included in a single dataset.</abstract>
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%0 Conference Proceedings
%T Joint Coreference Resolution for Zeros and non-Zeros in Arabic
%A Aloraini, Abdulrahman
%A Pradhan, Sameer
%A Poesio, Massimo
%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 aloraini-etal-2022-joint
%X Most existing proposals about anaphoric zero pronoun (AZP) resolution regard full mention coreference and AZP resolution as two independent tasks, even though the two tasks are clearly related. The main issues that need tackling to develop a joint model for zero and non-zero mentions are the difference between the two types of arguments (zero pronouns, being null, provide no nominal information) and the lack of annotated datasets of a suitable size in which both types of arguments are annotated for languages other than Chinese and Japanese. In this paper, we introduce two architectures for jointly resolving AZPs and non-AZPs, and evaluate them on Arabic, a language for which, as far as we know, there has been no prior work on joint resolution. Doing this also required creating a new version of the Arabic subset of the standard coreference resolution dataset used for the CoNLL-2012 shared task (Pradhan et al.,2012) in which both zeros and non-zeros are included in a single dataset.
%R 10.18653/v1/2022.wanlp-1.2
%U https://aclanthology.org/2022.wanlp-1.2
%U https://doi.org/10.18653/v1/2022.wanlp-1.2
%P 11-21

Markdown (Informal)

[Joint Coreference Resolution for Zeros and non-Zeros in Arabic](https://aclanthology.org/2022.wanlp-1.2) (Aloraini et al., WANLP 2022)

• Joint Coreference Resolution for Zeros and non-Zeros in Arabic (Aloraini et al., WANLP 2022)

ACL

• Abdulrahman Aloraini, Sameer Pradhan, and Massimo Poesio. 2022. Joint Coreference Resolution for Zeros and non-Zeros in Arabic. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 11–21, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.