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Keyword detection and regular expression spotting for named entity recognition in handwritten documents

Identifieur interne : 000095 ( France/Analysis ); précédent : 000094; suivant : 000096

Keyword detection and regular expression spotting for named entity recognition in handwritten documents

Auteurs : Gautier Bideault [France]

Source :

RBID : Hal:tel-01282919

Descripteurs français

English descriptors

Abstract

This document presents a study on keyword and regular expression detection in handwritten documents, dedicated to a further named entity detection stage. Named entities such as name, surname, company name or numerical values often constitutes the main informative part of a document. Therefore, their detection may lead to a deep document understanding. Named entity detection is a difficult problem due to their variability, even on electronical texts. When dealing with image of handwritten documents, the problem is also faced with the recognition issue: intrinsic handwriting variability, noise, etc.The forst contribution of this manuscript is a handwriting recognition engine based on CRF. The second contribution is a generic word and regular expression spotting system. a benchmark of discriminative models is proposed, showing that the BLSTM-CTC clearly outperforms other hybrid methods.

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Hal:tel-01282919

Le document en format XML

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<title xml:lang="en">Keyword detection and regular expression spotting for named entity recognition in handwritten documents</title>
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<div type="abstract" xml:lang="en">This document presents a study on keyword and regular expression detection in handwritten documents, dedicated to a further named entity detection stage. Named entities such as name, surname, company name or numerical values often constitutes the main informative part of a document. Therefore, their detection may lead to a deep document understanding. Named entity detection is a difficult problem due to their variability, even on electronical texts. When dealing with image of handwritten documents, the problem is also faced with the recognition issue: intrinsic handwriting variability, noise, etc.The forst contribution of this manuscript is a handwriting recognition engine based on CRF. The second contribution is a generic word and regular expression spotting system. a benchmark of discriminative models is proposed, showing that the BLSTM-CTC clearly outperforms other hybrid methods.</div>
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Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/France/explor/LeHavreV1/Data/France/Analysis
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{{Explor lien
   |wiki=    Wicri/France
   |area=    LeHavreV1
   |flux=    France
   |étape=   Analysis
   |type=    RBID
   |clé=     Hal:tel-01282919
   |texte=   Keyword detection and regular expression spotting for named entity recognition in handwritten documents
}}

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