A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content

Zhao, Minyuan; Ye, Jintao; Chua, Tat-Seng

doi:10.1145/2661829.2661936

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2016

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Cited by 2 publications

(1 citation statement)

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“…ROUGE has been validated through comparing its results to the Document Understanding Conference's (DUC) three years of manually labelled summaries. Numerous works [2,6,7,19,22,28,36,38,39,47,52,53,54,62,64,65] use some version of ROUGE for validation.…”

Section: Rougementioning

confidence: 99%

WHISK: Web Hosted Information into Summarized Knowledge

Wu¹

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Section: Rougementioning

confidence: 99%

WHISK: Web Hosted Information into Summarized Knowledge

Wu¹

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Generating Incremental Length Summary Based on Hierarchical Topic Coverage Maximization

Ye¹,

Zhao

Chua

2016

ACM Trans. Intell. Syst. Technol.

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Document summarization is playing an important role in coping with information overload on the Web. Many summarization models have been proposed recently, but few try to adjust the summary length and sentence order according to application scenarios. With the popularity of handheld devices, presenting key information first in summaries of flexible length is of great convenience in terms of faster reading and decision-making and network consumption reduction. Targeting this problem, we introduce a novel task of generating summaries of incremental length. In particular, we require that the summaries should have the ability to automatically adjust the coverage of general-detailed information when the summary length varies. We propose a novel summarization model that incrementally maximizes topic coverage based on the document's hierarchical topic model. In addition to the standard Rouge-1 measure, we define a new evaluation metric based on the similarity of the summaries' topic coverage distribution in order to account for sentence order and summary length. Extensive experiments on Wikipedia pages, DUC 2007, and general noninverted writing style documents from multiple sources show the effectiveness of our proposed approach. Moreover, we carry out a user study on a mobile application scenario to show the usability of the produced summary in terms of improving judgment accuracy and speed, as well as reducing the reading burden and network traffic.

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A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content

Cited by 2 publications

References 30 publications

WHISK: Web Hosted Information into Summarized Knowledge

WHISK: Web Hosted Information into Summarized Knowledge

Generating Incremental Length Summary Based on Hierarchical Topic Coverage Maximization

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