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Coreex: content extraction from online news articles

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Conference on Information and Knowledge Management archive
Proceeding of the 17th ACM conference on Information and knowledge management table of contents

Napa Valley, California, USA

POSTER SESSION: Poster session 1/knowledge management table of contents

Pages 1391-1392

Year of Publication: 2008

ISBN:978-1-59593-991-3

Authors

Jyotika Prasad	Stanford University, Stanford, CA, USA
Andreas Paepcke	Stanford University, Stanford, CA, USA

Sponsors

ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 9, Downloads (12 Months): 91, Citation Count: 0

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ABSTRACT

We developed and tested a heuristic technique for extracting the main article from news site Web pages. We construct the DOM tree of the page and score every node based on the amount of text, the number of links it contains and additional heuristics. The method is site-independent and does not use any language-based features. We tested our algorithm on a set of 1120 news article pages from 27 domains. Our algorithm achieved over 97% precision and 98% recall, and an average processing speed of under 15ms per page.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	John Gibson , Ben Wellner , Susan Lubar, Adaptive web-page content identification, Proceedings of the 9th annual ACM international workshop on Web information and data management, November 09-09, 2007, Lisbon, Portugal [doi>10.1145/1316902.1316920]
	2	D.-K. Kang and J. Choi. Metanews: An information agent for gathering news articles on the web. In KDD '02: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 588--593, New York, NY, USA, 2002. ACM.
	3	J. Prasad and A. Paepcke. CoreEx: Content extraction from online news articles. Technical Report 2008-15, Stanford University, May 2008.