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        <title>Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers</title>
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            <namePart type="given">Yusuke</namePart>
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    <abstract>We introduce the novel task of predicting adverbial presupposition triggers, which is useful for natural language generation tasks such as summarization and dialogue systems. We introduce two new corpora, derived from the Penn Treebank and the Annotated English Gigaword dataset and investigate the use of a novel attention mechanism tailored to this task. Our attention mechanism augments a baseline recurrent neural network without the need for additional trainable parameters, minimizing the added computational cost of our mechanism. We demonstrate that this model statistically outperforms our baselines.</abstract>
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%0 Conference Proceedings
%T Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
%A Cianflone, Andre
%A Feng, Yulan
%A Kabbara, Jad
%A Cheung, Jackie Chi Kit
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F cianflone-etal-2018-lets
%X We introduce the novel task of predicting adverbial presupposition triggers, which is useful for natural language generation tasks such as summarization and dialogue systems. We introduce two new corpora, derived from the Penn Treebank and the Annotated English Gigaword dataset and investigate the use of a novel attention mechanism tailored to this task. Our attention mechanism augments a baseline recurrent neural network without the need for additional trainable parameters, minimizing the added computational cost of our mechanism. We demonstrate that this model statistically outperforms our baselines.
%R 10.18653/v1/P18-1256
%U https://aclanthology.org/P18-1256
%U https://doi.org/10.18653/v1/P18-1256
%P 2747-2755

Markdown (Informal)

[Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers](https://aclanthology.org/P18-1256) (Cianflone et al., ACL 2018)

• Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers (Cianflone et al., ACL 2018)

ACL

• Andre Cianflone, Yulan Feng, Jad Kabbara, and Jackie Chi Kit Cheung. 2018. Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2747–2755, Melbourne, Australia. Association for Computational Linguistics.