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Filling the Gaps: Improving Wikipedia Stubs

Authors:

Siddhartha Banerjee,

Prasenjit MitraAuthors Info & Claims

DocEng '15: Proceedings of the 2015 ACM Symposium on Document Engineering

Pages 117 - 120

https://doi.org/10.1145/2682571.2797073

Published: 08 September 2015 Publication History

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Abstract

The availability of only a limited number of contributors on Wikipedia cannot ensure consistent growth and improvement of the online encyclopedia. With information being scattered on the web, our goal is to automate the process of generation of content for Wikipedia. In this work, we propose a technique of improving stubs on Wikipedia that do not contain comprehensive information. A classifier learns features from the existing comprehensive articles on Wikipedia and recommends content that can be added to the stubs to improve the completeness of such stubs. We conduct experiments using several classifiers - Latent Dirichlet Allocation (LDA) based model, a deep learning based architecture (Deep belief network) and TFIDF based classifier. Our experiments reveal that the LDA based model outperforms the other models (~6% F-score). Our generation approach shows that this technique is capable of generating comprehensive articles. ROUGE-2 scores of the articles generated by our system outperform the articles generated using the baseline. Content generated by our system has been appended to several stubs and successfully retained in Wikipedia.

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Setia SIyengar SVerma ARobles GStol KWang X(2020)QWikiProceedings of the 16th International Symposium on Open Collaboration10.1145/3412569.3412576(1-12)Online publication date: 25-Aug-2020
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Lu WLiu JXu WWang PWei B(2019)EncyCatalogRec: catalog recommendation for encyclopedia article completionFrontiers of Information Technology & Electronic Engineering10.1631/FITEE.180036321:3(436-447)Online publication date: 5-Sep-2019
https://doi.org/10.1631/FITEE.1800363
Kretschmer MGoschlberger BKlamma R(2019)Using Topical Networks to Detect Editor Communities in Wikipedias2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS.2019.8931865(102-109)Online publication date: Oct-2019
https://doi.org/10.1109/SNAMS.2019.8931865
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Index Terms

Filling the Gaps: Improving Wikipedia Stubs
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Natural language generation

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Published In

DocEng '15: Proceedings of the 2015 ACM Symposium on Document Engineering

September 2015

248 pages

ISBN:9781450333078

DOI:10.1145/2682571

General Chair:
Christine Vanoirbeek
EPFL, Switzerland
,
Program Chair:
Pierre Genevès
CNRS, France

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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Association for Computing Machinery

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Published: 08 September 2015

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DocEng '15: ACM Symposium on Document Engineering 2015

September 8 - 11, 2015

Lausanne, Switzerland

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DocEng '15 Paper Acceptance Rate 11 of 31 submissions, 35%;

Overall Acceptance Rate 178 of 537 submissions, 33%

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Cited By

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Setia SIyengar SVerma ARobles GStol KWang X(2020)QWikiProceedings of the 16th International Symposium on Open Collaboration10.1145/3412569.3412576(1-12)Online publication date: 25-Aug-2020
https://dl.acm.org/doi/10.1145/3412569.3412576
Lu WLiu JXu WWang PWei B(2019)EncyCatalogRec: catalog recommendation for encyclopedia article completionFrontiers of Information Technology & Electronic Engineering10.1631/FITEE.180036321:3(436-447)Online publication date: 5-Sep-2019
https://doi.org/10.1631/FITEE.1800363
Kretschmer MGoschlberger BKlamma R(2019)Using Topical Networks to Detect Editor Communities in Wikipedias2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS.2019.8931865(102-109)Online publication date: Oct-2019
https://doi.org/10.1109/SNAMS.2019.8931865
Piccardi TCatasta MZia LWest RCollins-Thompson KMei QDavison BLiu YYilmaz E(2018)Structuring Wikipedia Articles with Section RecommendationsThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3209984(665-674)Online publication date: 27-Jun-2018
https://dl.acm.org/doi/10.1145/3209978.3209984
Banerjee SMitra P(2016)WikiWriteProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence10.5555/3060832.3061004(2740-2746)Online publication date: 9-Jul-2016
https://dl.acm.org/doi/10.5555/3060832.3061004
Banerjee SMitra P(2015)WikiKreatorAI Matters10.1145/2813536.28135382:1(4-6)Online publication date: 7-Oct-2015
https://dl.acm.org/doi/10.1145/2813536.2813538

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