Document annotation by active learning techniques

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Document annotation by active learning techniques

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Document Engineering archive
Proceedings of the 2006 ACM symposium on Document engineering table of contents

Amsterdam, The Netherlands

SESSION: Document recognition and classification table of contents

Pages: 125 - 127

Year of Publication: 2006

ISBN:1-59593-515-0

Authors

Loïc Lecerf	Xerox Research Centre
Boris Chidlovskii	Xerox Research Centre

Sponsors

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

Publisher

ACM New York, NY, USA

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ABSTRACT

We present a system for the semantic annotation of layout-oriented documents, with an integrated learning component. We introduce probabilistic learning methods on tree-like documents and we present different active learning techniques for training document annotation models. We report some preliminary results of deploying such active learning techniques on an important case of document collection annotation.

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.

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