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            <namePart type="given">Min-Yen</namePart>
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    <abstract>We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic approaches. Our model benefits from a partial sampling scheme and is conceptually simple, yet achieves state-of-the-art performance on the Chinese Discourse Treebank. We also visualize its attention activity to illustrate the model’s ability to selectively focus on the relevant parts of an input sequence.</abstract>
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%0 Conference Proceedings
%T A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
%A Rönnqvist, Samuel
%A Schenk, Niko
%A Chiarcos, Christian
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F ronnqvist-etal-2017-recurrent
%X We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic approaches. Our model benefits from a partial sampling scheme and is conceptually simple, yet achieves state-of-the-art performance on the Chinese Discourse Treebank. We also visualize its attention activity to illustrate the model’s ability to selectively focus on the relevant parts of an input sequence.
%R 10.18653/v1/P17-2040
%U https://aclanthology.org/P17-2040
%U https://doi.org/10.18653/v1/P17-2040
%P 256-262

Markdown (Informal)

[A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations](https://aclanthology.org/P17-2040) (Rönnqvist et al., ACL 2017)

• A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations (Rönnqvist et al., ACL 2017)

ACL

• Samuel Rönnqvist, Niko Schenk, and Christian Chiarcos. 2017. A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 256–262, Vancouver, Canada. Association for Computational Linguistics.