2008 LearningToLinkWithWikipedia

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Subject Headings: Wikipedia-based Term Mention Linking Algorithm, Wikipedia-based Term Mention Recognition Algorithm, Supervised Concept Mention Linking Algorithm.

Notes

Cited By

2010

2009

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Keywords:

Abstract

This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify significant terms within unstructured text, and enrich it with links to the appropriate Wikipedia articles. The resulting link detector and disambiguator performs very well, with recall and precision of almost 75%. This performance is constant whether the system is evaluated on Wikipedia articles or “real worlddocuments.

This work has implications far beyond enriching documents with explanatory links. It can provide structured knowledge about any unstructured fragment of text. Any task that is currently addressed with bags of words - indexing, clustering, retrieval, and summarization to name a few - could use the techniques described here to draw on a vast network of concepts and semantics.


References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 LearningToLinkWithWikipediaDavid N. Milne
Ian H. Witten
Learning to Link with WikipediaProceeding of the 17th ACM Conference on Information and Knowledge Managementhttp://www.cs.waikato.ac.nz/~ihw/papers/08-DNM-IHW-LearningToLinkWithWikipedia.pdf10.1145/1458082.14581502008