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        <title>Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction</title>
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            <namePart type="given">Chengqing</namePart>
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    <abstract>In this work, we propose Masked Noun-Phrase Prediction (MNPP), a pre-training strategy to tackle pronoun resolution in a fully unsupervised setting. Firstly, We evaluate our pre-trained model on various pronoun resolution datasets without any finetuning. Our method outperforms all previous unsupervised methods on all datasets by large margins. Secondly, we proceed to a few-shot setting where we finetune our pre-trained model on WinoGrande-S and XS separately. Our method outperforms RoBERTa-large baseline with large margins, meanwhile, achieving a higher AUC score after further finetuning on the remaining three official splits of WinoGrande.</abstract>
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%0 Conference Proceedings
%T Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction
%A Shen, Ming
%A Banerjee, Pratyay
%A Baral, Chitta
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F shen-etal-2021-unsupervised
%X In this work, we propose Masked Noun-Phrase Prediction (MNPP), a pre-training strategy to tackle pronoun resolution in a fully unsupervised setting. Firstly, We evaluate our pre-trained model on various pronoun resolution datasets without any finetuning. Our method outperforms all previous unsupervised methods on all datasets by large margins. Secondly, we proceed to a few-shot setting where we finetune our pre-trained model on WinoGrande-S and XS separately. Our method outperforms RoBERTa-large baseline with large margins, meanwhile, achieving a higher AUC score after further finetuning on the remaining three official splits of WinoGrande.
%R 10.18653/v1/2021.acl-short.117
%U https://aclanthology.org/2021.acl-short.117
%U https://doi.org/10.18653/v1/2021.acl-short.117
%P 932-941

Markdown (Informal)

[Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction](https://aclanthology.org/2021.acl-short.117) (Shen et al., ACL-IJCNLP 2021)

• Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction (Shen et al., ACL-IJCNLP 2021)

ACL

• Ming Shen, Pratyay Banerjee, and Chitta Baral. 2021. Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 932–941, Online. Association for Computational Linguistics.