Address extraction using Hidden Markov Models
Identifieur interne :
000463 ( PascalFrancis/Corpus );
précédent :
000462;
suivant :
000464
Address extraction using Hidden Markov Models
Auteurs : Kazem Taghva ;
Jeffrey Coombs ;
Ray Pereda ;
Thomas NartkerSource :
-
SPIE proceedings series [ 1017-2653 ] ; 2005.
RBID : Pascal:05-0359645
Descripteurs français
English descriptors
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.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A01 | 01 | 1 | | @0 1017-2653 |
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| A05 | | | | @2 5676 |
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| A08 | 01 | 1 | ENG | @1 Address extraction using Hidden Markov Models |
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| A09 | 01 | 1 | ENG | @1 Document recognition and retrieval XII : San Jose CA, 19-20 January 2005 |
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| A11 | 01 | 1 | | @1 TAGHVA (Kazem) |
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| A11 | 02 | 1 | | @1 COOMBS (Jeffrey) |
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| A11 | 03 | 1 | | @1 PEREDA (Ray) |
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| A11 | 04 | 1 | | @1 NARTKER (Thomas) |
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| A12 | 01 | 1 | | @1 SMITH (Elisa H. Barney) @9 ed. |
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| A12 | 02 | 1 | | @1 TAGHVA (Kazem) @9 ed. |
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| A14 | 01 | | | @1 Information Science Research Institute University of Nevada, Las Vegas @2 Las Vegas, NV 89154-4021 @3 USA @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. |
|---|
| A18 | 01 | 1 | | @1 International Society for Optical Engineering @2 Bellingham WA @3 USA @9 org-cong. |
|---|
| A20 | | | | @1 119-126 |
|---|
| A21 | | | | @1 2005 |
|---|
| A23 | 01 | | | @0 ENG |
|---|
| A26 | 01 | | | @0 0-8194-5649-7 |
|---|
| A43 | 01 | | | @1 INIST @2 21760 @5 354000124499720140 |
|---|
| A44 | | | | @0 0000 @1 © 2005 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 10 ref. |
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| A47 | 01 | 1 | | @0 05-0359645 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 SPIE proceedings series |
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| A66 | 01 | | | @0 USA |
|---|
| C01 | 01 | | ENG | @0 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. |
|---|
| C02 | 01 | X | | @0 001D04A05A |
|---|
| C03 | 01 | 3 | FRE | @0 Modèle Markov variable cachée @5 01 |
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| C03 | 01 | 3 | ENG | @0 Hidden Markov models @5 01 |
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| C03 | 02 | X | FRE | @0 Implémentation @5 02 |
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| C03 | 02 | X | ENG | @0 Implementation @5 02 |
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| C03 | 02 | X | SPA | @0 Implementación @5 02 |
|---|
| C03 | 03 | X | FRE | @0 Reconnaissance optique caractère @5 03 |
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| C03 | 03 | X | ENG | @0 Optical character recognition @5 03 |
|---|
| C03 | 03 | X | SPA | @0 Reconocimento óptico de caracteres @5 03 |
|---|
| C03 | 04 | X | FRE | @0 Précision élevée @5 04 |
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| C03 | 04 | X | ENG | @0 High precision @5 04 |
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| C03 | 04 | X | SPA | @0 Precisión elevada @5 04 |
|---|
| C03 | 05 | X | FRE | @0 Extraction information @5 05 |
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| C03 | 05 | X | ENG | @0 Information extraction @5 05 |
|---|
| C03 | 05 | X | SPA | @0 Extracción información @5 05 |
|---|
| C03 | 06 | X | FRE | @0 Approche probabiliste @5 31 |
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| C03 | 06 | X | ENG | @0 Probabilistic approach @5 31 |
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| C03 | 06 | X | SPA | @0 Enfoque probabilista @5 31 |
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| N21 | | | | @1 248 |
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|
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| pR |
| A30 | 01 | 1 | ENG | @1 Document recognition and retrieval. Conference @2 12 @3 San Jose CA USA @4 2005-01-19 |
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|
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Format Inist (serveur)
| NO : | PASCAL 05-0359645 INIST |
|---|
| ET : | Address extraction using Hidden Markov Models |
|---|
| AU : | TAGHVA (Kazem); COOMBS (Jeffrey); PEREDA (Ray); NARTKER (Thomas); SMITH (Elisa H. Barney); TAGHVA (Kazem) |
|---|
| AF : | Information Science Research Institute University of Nevada, Las Vegas/Las Vegas, NV 89154-4021/Etats-Unis (1 aut., 2 aut., 3 aut., 4 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | SPIE proceedings series; ISSN 1017-2653; Etats-Unis; Da. 2005; Vol. 5676; Pp. 119-126; Bibl. 10 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | 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. |
|---|
| CC : | 001D04A05A |
|---|
| FD : | Modèle Markov variable cachée; Implémentation; Reconnaissance optique caractère; Précision élevée; Extraction information; Approche probabiliste |
|---|
| ED : | Hidden Markov models; Implementation; Optical character recognition; High precision; Information extraction; Probabilistic approach |
|---|
| SD : | Implementación; Reconocimento óptico de caracteres; Precisión elevada; Extracción información; Enfoque probabilista |
|---|
| LO : | INIST-21760.354000124499720140 |
|---|
| ID : | 05-0359645 |
|---|
Links to Exploration step
Pascal:05-0359645
Le document en format XML
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<ET>Address extraction using Hidden Markov Models</ET>
<AU>TAGHVA (Kazem); COOMBS (Jeffrey); PEREDA (Ray); NARTKER (Thomas); SMITH (Elisa H. Barney); TAGHVA (Kazem)</AU>
<AF>Information Science Research Institute University of Nevada, Las Vegas/Las Vegas, NV 89154-4021/Etats-Unis (1 aut., 2 aut., 3 aut., 4 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
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