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Infobox suggestion for Wikipedia entities

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Chengkai LiAuthors Info & Claims

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

Pages 2307 - 2310

https://doi.org/10.1145/2396761.2398627

Published: 29 October 2012 Publication History

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Abstract

Given the sheer amount of work and expertise required in authoring Wikipedia articles, automatic tools that help Wikipedia contributors in generating and improving content are valuable. This paper presents our initial step towards building a full-fledged author assistant, particularly for suggesting infobox templates for articles. We build SVM classifiers to suggest infobox template types, among a large number of possible types, to Wikipedia articles without infoboxes. Different from prior works on Wikipedia article classification which deal with only a few label classes for named entity recognition, the much larger 337-class setup in our study is geared towards realistic deployment of infobox suggestion tool. We also emphasize testing on articles without infoboxes, due to that labeled and unlabeled data exhibit different distributions of features, which departs from the typical assumption that they are drawn from the same underlying population.

References

[1]

K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor. Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD, 2008.

Digital Library

Google Scholar

[2]

W. Dakka and S. Cucerzan. Augmenting Wikipedia with named entity tags. In IJCNLP, 2008.

Google Scholar

[3]

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: an update. SIGKDD Explor. Newsl., 11(1), Nov. 2009.

Digital Library

Google Scholar

[4]

R. Kaptein and J. Kamps. Using links to classify Wikipedia pages. Advances in Focused Retrieval, 2009.

Digital Library

Google Scholar

[5]

Nadeau, David, Sekine, and Satoshi. A survey of named entity recognition and classification. Linguisticae Investigationes, 30(1):3--26, January 2007.

Crossref

Google Scholar

[6]

J. Nothman, J. R. Curran, and T. Murphy. Transforming Wikipedia into named entity training data. In Proceedings of the Australian Language Technology Workshop, 2008.

Google Scholar

[7]

A. E. Richman, P. Schone, and F. G. G. Meade. Mining Wiki resources for multilingual named entity recognition. In ACL, 2008.

Google Scholar

[8]

I. Saleh, K. Darwish, and A. Fahmy. Classifying wikipedia articles into ne's using svm's with threshold adjustment. In Proceedings of the 2010 Named Entities Workshop.

Digital Library

Google Scholar

[9]

M. Tkatchenko, A. Ulanov, and A. Simanovsky. Classifying wikipedia entities into fine-grained classes. In International Conference on Data Engineering Workshops, 2011.

Digital Library

Google Scholar

[10]

A. Toral and R. Munoz. A proposal to automatically build and maintain gazetteers for named entity recognition by using Wikipedia. In Proceedings of the EACL Workshop on New Text, 2006.

Google Scholar

[11]

Y. Watanabe, M. Asahara, and Y. Matsumoto. A graph-based approach to named entity categorization in Wikipedia using conditional random fields. In EMNLP-CoNLL, 2007.

Google Scholar

[12]

F. Wu and D. S. Weld. Autonomously semantifying wikipedia. In CIKM, 2007.

Digital Library

Google Scholar

[13]

F. Wu and D. S. Weld. Automatically refining the wikipedia infobox ontology. In WWW, 2008.

Digital Library

Google Scholar

Cited By

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Goyal NSachdeva NChoudhary VKar RKumaraguru PRajput NAtzenbeck CRubart JMillard D(2019)Con2KG-A Large-scale Domain-Specific Knowledge GraphProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3344931(287-288)Online publication date: 12-Sep-2019
https://dl.acm.org/doi/10.1145/3342220.3344931
Bykau SLee JSrivastava DVelegrakis Y(2017)"Tell me more" using Ladders in WikipediaProceedings of the 20th International Workshop on the Web and Databases10.1145/3068839.3068847(1-6)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1145/3068839.3068847
Chaudhury SMallik AGhosh H(2015)BibliographyMultimedia Ontology10.1201/b18639-16(237-259)Online publication date: 17-Jun-2015
https://doi.org/10.1201/b18639-16
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Index Terms

Infobox suggestion for Wikipedia entities
1. Information systems
  1. Information retrieval

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Published In

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

October 2012

2840 pages

ISBN:9781450311564

DOI:10.1145/2396761

General Chair:
Xuewen Chen
Wayne State University, USA
,
Program Chairs:
Guy Lebanon
Georgia Institute of Technology
,
Haixun Wang
Microsoft Research Asia
,
Mohammed J. Zaki
Rensselaer Polytechnic Institute

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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Published: 29 October 2012

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October 29 - November 2, 2012

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Goyal NSachdeva NChoudhary VKar RKumaraguru PRajput NAtzenbeck CRubart JMillard D(2019)Con2KG-A Large-scale Domain-Specific Knowledge GraphProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3344931(287-288)Online publication date: 12-Sep-2019
https://dl.acm.org/doi/10.1145/3342220.3344931
Bykau SLee JSrivastava DVelegrakis Y(2017)"Tell me more" using Ladders in WikipediaProceedings of the 20th International Workshop on the Web and Databases10.1145/3068839.3068847(1-6)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1145/3068839.3068847
Chaudhury SMallik AGhosh H(2015)BibliographyMultimedia Ontology10.1201/b18639-16(237-259)Online publication date: 17-Jun-2015
https://doi.org/10.1201/b18639-16
Bhuiyan HOh KHong MJo G(2015)An Unsupervised Approach for Identifying the Infobox Template of Wikipedia ArticleProceedings of the 2015 IEEE 18th International Conference on Computational Science and Engineering (CSE)10.1109/CSE.2015.47(334-338)Online publication date: 21-Oct-2015
https://dl.acm.org/doi/10.1109/CSE.2015.47
Zhang KXiao YTong HWang HWang WLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)WiiClusterProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2661840(2033-2035)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2661840
Aprosio AGiuliano CLavelli A(2013)Automatic Mapping of Wikipedia Templates for Fast Deployment of Localised DBpedia DatasetsProceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies10.1145/2494188.2494196(1-8)Online publication date: 4-Sep-2013
https://dl.acm.org/doi/10.1145/2494188.2494196
Palmero Aprosio AGiuliano CLavelli A(2013)Towards an Automatic Creation of Localized Versions of DBpediaProceedings of the 12th International Semantic Web Conference - Part I10.1007/978-3-642-41335-3_31(494-509)Online publication date: 21-Oct-2013
https://dl.acm.org/doi/10.1007/978-3-642-41335-3_31

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Automatically refining the wikipedia infobox ontology

Discovering Missing Semantic Relations between Entities in Wikipedia

Learning multilingual named entity recognition from Wikipedia

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Automatically refining the wikipedia infobox ontology

Discovering Missing Semantic Relations between Entities in Wikipedia

Learning multilingual named entity recognition from Wikipedia

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