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ExtremeReader: An interactive explorer for customizable and explainable review summarization

Published: 20 April 2020 Publication History

Abstract

Building summarization systems have become a necessity due to the extensive volume and growth of online reviews. Despite extensive research on this topic, existing summarization systems generally fall short on two aspects. First, existing techniques generate static summaries which cannot be tailored to specific user needs. Second, most existing systems generate extractive summaries which selects only certain salient aspects from the summaries. Hence, they do not completely depict the overall opinion of the reviews. In this paper, we demonstrate a novel summarization system, ExtremeReader, that overcomes the limitations of existing summarization systems described above. ExtremeReader allows summaries to be tailored and explored interactively so that users can quickly find the desired information. In addition, ExtremeReader generates abstractive summaries with an underlying structure that helps users understand, explore, and seek explanations to the generated summaries.

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Cited By

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  • (2022)Convex Aggregation for Opinion SummarizationConvex Aggregation for Opinion SummarizationJournal of Natural Language Processing10.5715/jnlp.29.26429:1(264-269)Online publication date: 2022
  • (2022)Bias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and ReviewsProceedings of the ACM on Human-Computer Interaction10.1145/35555976:CSCW2(1-31)Online publication date: 11-Nov-2022
  • (2022)Guided Text-based Item ExplorationProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557141(3410-3420)Online publication date: 17-Oct-2022
  • Show More Cited By

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  1. ExtremeReader: An interactive explorer for customizable and explainable review summarization
          Index terms have been assigned to the content through auto-classification.

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          cover image ACM Conferences
          WWW '20: Companion Proceedings of the Web Conference 2020
          April 2020
          854 pages
          ISBN:9781450370240
          DOI:10.1145/3366424
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Publication History

          Published: 20 April 2020

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          Author Tags

          1. Explanation mining
          2. Opinion summarization

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          WWW '20
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          WWW '20: The Web Conference 2020
          April 20 - 24, 2020
          Taipei, Taiwan

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          Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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          Cited By

          View all
          • (2022)Convex Aggregation for Opinion SummarizationConvex Aggregation for Opinion SummarizationJournal of Natural Language Processing10.5715/jnlp.29.26429:1(264-269)Online publication date: 2022
          • (2022)Bias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and ReviewsProceedings of the ACM on Human-Computer Interaction10.1145/35555976:CSCW2(1-31)Online publication date: 11-Nov-2022
          • (2022)Guided Text-based Item ExplorationProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557141(3410-3420)Online publication date: 17-Oct-2022
          • (2022)Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop PerspectiveProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502068(1-15)Online publication date: 29-Apr-2022
          • (2021)Extractive Opinion Summarization in Quantized Transformer SpacesTransactions of the Association for Computational Linguistics10.1162/tacl_a_003669(277-293)Online publication date: 31-Mar-2021
          • (2021)Exploring Ratings in Subjective DatabasesProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3457259(62-75)Online publication date: 9-Jun-2021
          • (2021)ADOPSKnowledge-Based Systems10.1016/j.knosys.2021.107455231:COnline publication date: 14-Nov-2021

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