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    <abstract>Deep inside-outside recursive autoencoder (DIORA) is a neural-based model designed for unsupervised constituency parsing. During its forward computation, it provides phrase and contextual representations for all spans in the input sentence. By utilizing the contextual representation of each leaf-level span, the span of length 1, to reconstruct the word inside the span, the model is trained without labeled data. In this work, we extend the training objective of DIORA by making use of all spans instead of only leaf-level spans. We test our new training objective on datasets of two languages: English and Japanese, and empirically show that our method achieves improvement in parsing accuracy over the original DIORA.</abstract>
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%0 Conference Proceedings
%T Deep Inside-outside Recursive Autoencoder with All-span Objective
%A Hong, Ruyue
%A Cai, Jiong
%A Tu, Kewei
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F hong-etal-2020-deep
%X Deep inside-outside recursive autoencoder (DIORA) is a neural-based model designed for unsupervised constituency parsing. During its forward computation, it provides phrase and contextual representations for all spans in the input sentence. By utilizing the contextual representation of each leaf-level span, the span of length 1, to reconstruct the word inside the span, the model is trained without labeled data. In this work, we extend the training objective of DIORA by making use of all spans instead of only leaf-level spans. We test our new training objective on datasets of two languages: English and Japanese, and empirically show that our method achieves improvement in parsing accuracy over the original DIORA.
%R 10.18653/v1/2020.coling-main.322
%U https://aclanthology.org/2020.coling-main.322
%U https://doi.org/10.18653/v1/2020.coling-main.322
%P 3610-3615

Markdown (Informal)

[Deep Inside-outside Recursive Autoencoder with All-span Objective](https://aclanthology.org/2020.coling-main.322) (Hong et al., COLING 2020)

• Deep Inside-outside Recursive Autoencoder with All-span Objective (Hong et al., COLING 2020)

ACL

• Ruyue Hong, Jiong Cai, and Kewei Tu. 2020. Deep Inside-outside Recursive Autoencoder with All-span Objective. In Proceedings of the 28th International Conference on Computational Linguistics, pages 3610–3615, Barcelona, Spain (Online). International Committee on Computational Linguistics.