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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Controlling the Amount of Verbatim Copying in Abstractive Summarization

February 1, 2023

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Authors

Kaiqiang Song

University of Central Florida


Bingqing Wang

Robert Bosch LLC


Zhe Feng

Robert Bosch LLC


Ren Liu

Robert Bosch LLC


Fei Liu

University of Central Florida


DOI:

10.1609/aaai.v34i05.6420


Abstract:

An abstract must not change the meaning of the original text. A single most effective way to achieve that is to increase the amount of copying while still allowing for text abstraction. Human editors can usually exercise control over copying, resulting in summaries that are more extractive than abstractive, or vice versa. However, it remains poorly understood whether modern neural abstractive summarizers can provide the same flexibility, i.e., learning from single reference summaries to generate multiple summary hypotheses with varying degrees of copying. In this paper, we present a neural summarization model that, by learning from single human abstracts, can produce a broad spectrum of summaries ranging from purely extractive to highly generative ones. We frame the task of summarization as language modeling and exploit alternative mechanisms to generate summary hypotheses. Our method allows for control over copying during both training and decoding stages of a neural summarization model. Through extensive experiments we illustrate the significance of our proposed method on controlling the amount of verbatim copying and achieve competitive results over strong baselines. Our analysis further reveals interesting and unobvious facts.

Topics: AAAI

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HOW TO CITE:

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu Controlling the Amount of Verbatim Copying in Abstractive Summarization Proceedings of the AAAI Conference on Artificial Intelligence (2020) 8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu Controlling the Amount of Verbatim Copying in Abstractive Summarization AAAI 2020, 8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu (2020). Controlling the Amount of Verbatim Copying in Abstractive Summarization. Proceedings of the AAAI Conference on Artificial Intelligence, 8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu. Controlling the Amount of Verbatim Copying in Abstractive Summarization. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu. 2020. Controlling the Amount of Verbatim Copying in Abstractive Summarization. "Proceedings of the AAAI Conference on Artificial Intelligence". 8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu. (2020) "Controlling the Amount of Verbatim Copying in Abstractive Summarization", Proceedings of the AAAI Conference on Artificial Intelligence, p.8902-8909

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu, "Controlling the Amount of Verbatim Copying in Abstractive Summarization", AAAI, p.8902-8909, 2020.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu. "Controlling the Amount of Verbatim Copying in Abstractive Summarization". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu. "Controlling the Amount of Verbatim Copying in Abstractive Summarization". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 8902-8909.

Kaiqiang Song||Bingqing Wang||Zhe Feng||Ren Liu||Fei Liu. Controlling the Amount of Verbatim Copying in Abstractive Summarization. AAAI[Internet]. 2020[cited 2023]; 8902-8909.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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