research-article

MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets

Authors:

Alessandro Fiori,

Paolo GarzaAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 34, Issue 1

Article No.: 5, Pages 1 - 35

https://doi.org/10.1145/2809786

Published: 21 September 2015 Publication History

Abstract

Multidocument summarization addresses the selection of a compact subset of highly informative sentences, i.e., the summary, from a collection of textual documents. To perform sentence selection, two parallel strategies have been proposed: (a) apply general-purpose techniques relying on data mining or information retrieval techniques, and/or (b) perform advanced linguistic analysis relying on semantics-based models (e.g., ontologies) to capture the actual sentence meaning. Since there is an increasing need for processing documents written in different languages, the attention of the research community has recently focused on summarizers based on strategy (a).

This article presents a novel multilingual summarizer, namely MWI-Sum (Multilingual Weighted Itemset-based Summarizer), that exploits an itemset-based model to summarize collections of documents ranging over the same topic. Unlike previous approaches, it extracts frequent weighted itemsets tailored to the analyzed collection and uses them to drive the sentence selection process. Weighted itemsets represent correlations among multiple highly relevant terms that are neglected by previous approaches. The proposed approach makes minimal use of language-dependent analyses. Thus, it is easily applicable to document collections written in different languages.

Experiments performed on benchmark and real-life collections, English-written and not, demonstrate that the proposed approach performs better than state-of-the-art multilingual document summarizers.

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Index Terms

MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets
1. Computing methodologies
  1. Machine learning
2. Information systems
  1. Information systems applications

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cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 34, Issue 1

October 2015

172 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/2806674

Editor:
Maarten de Rijke
University of Amsterdam, The Netherlands

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Publication History

Published: 21 September 2015

Accepted: 01 July 2015

Revised: 01 June 2015

Received: 01 June 2014

Published in TOIS Volume 34, Issue 1

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https://doi.org/10.1109/ICIS64839.2024.10887480
Li WCheng ZDeng LYang ZLi A(2023)Accelerating large-scale weighted similarity queries based on external storageInformation Systems10.1016/j.is.2023.102213117:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.is.2023.102213
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Shaik TTao XLi YDann CMcDonald JRedmond PGalligan L(2022)A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback AnalysisIEEE Access10.1109/ACCESS.2022.317775210(56720-56739)Online publication date: 2022
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Debnath DDas RPakray PLaskar R(2022)Extractive single-document summarization using adaptive binary constrained multi-objective differential evaluationInnovations in Systems and Software Engineering10.1007/s11334-022-00474-2Online publication date: 9-Aug-2022
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