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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Response Generation by Context-Aware Prototype Editing

February 1, 2023

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Authors

Yu Wu

Beihang University


Furu Wei

Microsoft Research Asia


Shaohan Huang

Microsoft Research Asia


Yunli Wang

Beihang University


Zhoujun Li

Beihang University


Ming Zhou

Microsoft Research


DOI:

10.1609/aaai.v33i01.33017281


Abstract:

Open domain response generation has achieved remarkable progress in recent years, but sometimes yields short and uninformative responses. We propose a new paradigm, prototypethen-edit for response generation, that first retrieves a prototype response from a pre-defined index and then edits the prototype response according to the differences between the prototype context and current context. Our motivation is that the retrieved prototype provides a good start-point for generation because it is grammatical and informative, and the post-editing process further improves the relevance and coherence of the prototype. In practice, we design a contextaware editing model that is built upon an encoder-decoder framework augmented with an editing vector. We first generate an edit vector by considering lexical differences between a prototype context and current context. After that, the edit vector and the prototype response representation are fed to a decoder to generate a new response. Experiment results on a large scale dataset demonstrate that our new paradigm significantly increases the relevance, diversity and originality of generation results, compared to traditional generative models. Furthermore, our model outperforms retrieval-based methods in terms of relevance and originality.

Topics: AAAI

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HOW TO CITE:

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou Response Generation by Context-Aware Prototype Editing Proceedings of the AAAI Conference on Artificial Intelligence (2019) 7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou Response Generation by Context-Aware Prototype Editing AAAI 2019, 7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou (2019). Response Generation by Context-Aware Prototype Editing. Proceedings of the AAAI Conference on Artificial Intelligence, 7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou. Response Generation by Context-Aware Prototype Editing. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou. 2019. Response Generation by Context-Aware Prototype Editing. "Proceedings of the AAAI Conference on Artificial Intelligence". 7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou. (2019) "Response Generation by Context-Aware Prototype Editing", Proceedings of the AAAI Conference on Artificial Intelligence, p.7281-7288

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou, "Response Generation by Context-Aware Prototype Editing", AAAI, p.7281-7288, 2019.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou. "Response Generation by Context-Aware Prototype Editing". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou. "Response Generation by Context-Aware Prototype Editing". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 7281-7288.

Yu Wu||Furu Wei||Shaohan Huang||Yunli Wang||Zhoujun Li||Ming Zhou. Response Generation by Context-Aware Prototype Editing. AAAI[Internet]. 2019[cited 2023]; 7281-7288.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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