OcrV1, Main, Exploration, bibRecord, 001419

Address extraction using Hidden Markov Models

Identifieur interne : 001419 ( Main/Exploration ); précédent : 001418; suivant : 001420

Address extraction using Hidden Markov Models

Auteurs : Kazem Taghva [États-Unis] ; Jeffrey Coombs [États-Unis] ; Ray Pereda [États-Unis] ; Thomas Nartker [États-Unis]

Source :

SPIE proceedings series [ 1017-2653 ] ; 2005.

RBID : Pascal:05-0359645

Descripteurs français

Pascal (Inist)
- Modèle Markov variable cachée, Implémentation, Reconnaissance optique caractère, Précision élevée, Extraction information, Approche probabiliste.

English descriptors

KwdEn :
- Hidden Markov models, High precision, Implementation, Information extraction, Optical character recognition, Probabilistic approach.

Abstract

This paper presents the implementation and evaluation of a Hidden Markov Model to extract addresses from OCR text. Although Hidden Markov Models discover addresses with high precision and recall, this type of Information Extraction task seems to be affected negatively by the presence of OCR text.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000463
to stream PascalFrancis, to step Curation: 000325
to stream PascalFrancis, to step Checkpoint: 000435
to stream Main, to step Merge: 001465
to stream Main, to step Curation: 001419

Le document en format XML

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<front><div type="abstract" xml:lang="en">This paper presents the implementation and evaluation of a Hidden Markov Model to extract addresses from OCR text. Although Hidden Markov Models discover addresses with high precision and recall, this type of Information Extraction task seems to be affected negatively by the presence of OCR text.</div>
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Address extraction using Hidden Markov Models

Address extraction using Hidden Markov Models

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri