named entities recognition Latest Research Papers

Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant

10.24251/hicss.2022.162 ◽

2022 ◽

Author(s):

Aleksander Denisiuk ◽

Maria Ganzha ◽

Katarzyna Wasielewska-Michniewska ◽

Marcin Paprzycki

Keyword(s):

Feature Extraction ◽

Named Entities ◽

Polish Language ◽

Named Entities Recognition ◽

Office Assistant

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Skill Requirements Analysis for Data Analysts Based on Named Entities Recognition

2021 2nd International Conference on Big Data and Informatization Education (ICBDIE) ◽

10.1109/icbdie52740.2021.00023 ◽

2021 ◽

Author(s):

Lina Cao ◽

Jian Zhang

Keyword(s):

Requirements Analysis ◽

Named Entities ◽

Skill Requirements ◽

Named Entities Recognition

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Evaluating Named Entities Recognition (NER) tools vs algorithms adapted to the extraction of locations

10.1109/incodtrin51881.2020.00035 ◽

2020 ◽

Author(s):

Marcos Orellana ◽

Catalina Farez ◽

Paul Cardenas

Keyword(s):

Named Entities ◽

Named Entities Recognition

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Proposal for Named Entities Recognition and Classification (NERC) and the Automatic Generation of Rules on Mexican News

Computación y Sistemas ◽

10.13053/cys-24-2-3377 ◽

2020 ◽

Vol 24 (2) ◽

Author(s):

Orlando Ramos Flores ◽

David Pinto

Keyword(s):

Automatic Generation ◽

Named Entities ◽

Named Entities Recognition

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An Evaluation Methodology of Named Entities Recognition in Spanish Language: ECU 911 Case Study

International Journal on Advanced Science Engineering and Information Technology ◽

10.18517/ijaseit.10.3.10939 ◽

2020 ◽

Vol 10 (3) ◽

pp. 1123

Author(s):

Marcos Orellana ◽

Andrea Trujillo ◽

Juan-Fernando Lima ◽

María-Inés Acosta ◽

Mario Peña

Keyword(s):

Spanish Language ◽

Evaluation Methodology ◽

Named Entities ◽

Named Entities Recognition

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Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016). Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016

Вопросы ономастики ◽

10.15826/vopr_onom.2018.15.1.012 ◽

2018 ◽

Vol 15 (1) ◽

pp. 207-215

Author(s):

Daria M. Golikova ◽

Keyword(s):

Computational Linguistics ◽

Text Processing ◽

Proper Names ◽

Named Entities ◽

Named Entities Recognition ◽

Automatic Text

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Named Entities Recognition in Computer Field for Entity Attribute Semantic Knowledge Database

DEStech Transactions on Engineering and Technology Research ◽

10.12783/dtetr/ismii2017/16654 ◽

2017 ◽

Author(s):

Honglin Wu ◽

Ruoyi Zhou ◽

Ke Wang

Keyword(s):

Semantic Knowledge ◽

Named Entities ◽

Knowledge Database ◽

Named Entities Recognition

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Integrating Bilingual Named Entities Lexicon with Conditional Random Fields Model for Arabic Named Entities Recognition

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2017.105 ◽

2017 ◽

Author(s):

Emna Hkiri ◽

Souheyl Mallat ◽

Mounir Zrigui

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Named Entities ◽

Named Entities Recognition

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Improved Statistical Machine Translation by Cross-Linguistic Projection of Named Entities Recognition and Translation

Computación y Sistemas ◽

10.13053/cys-19-4-2329 ◽

2015 ◽

Vol 19 (4) ◽

Cited By ~ 1

Author(s):

Rahma Sellami ◽

Fatima Deffaf ◽

Fatiha Sadat ◽

Lamia Hadrich Belguith

Keyword(s):

Machine Translation ◽

Statistical Machine Translation ◽

Named Entities ◽

Named Entities Recognition

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A Named Entities Recognition System for Modern Standard Arabic using Rule-Based Approach

2015 First International Conference on Arabic Computational Linguistics (ACLing) ◽

10.1109/acling.2015.14 ◽

2015 ◽

Author(s):

Hala Elsayed ◽

Tarek Elghazaly

Keyword(s):

Recognition System ◽

Modern Standard Arabic ◽

Named Entities ◽

Rule Based ◽

Standard Arabic ◽

Rule Based Approach ◽

Named Entities Recognition ◽

Modern Standard

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named entities recognition
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant

Skill Requirements Analysis for Data Analysts Based on Named Entities Recognition

Evaluating Named Entities Recognition (NER) tools vs algorithms adapted to the extraction of locations

Proposal for Named Entities Recognition and Classification (NERC) and the Automatic Generation of Rules on Mexican News

An Evaluation Methodology of Named Entities Recognition in Spanish Language: ECU 911 Case Study

Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016). Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016

Named Entities Recognition in Computer Field for Entity Attribute Semantic Knowledge Database

Integrating Bilingual Named Entities Lexicon with Conditional Random Fields Model for Arabic Named Entities Recognition

Improved Statistical Machine Translation by Cross-Linguistic Projection of Named Entities Recognition and Translation

A Named Entities Recognition System for Modern Standard Arabic using Rule-Based Approach

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named entities recognitionRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant

Skill Requirements Analysis for Data Analysts Based on Named Entities Recognition

Evaluating Named Entities Recognition (NER) tools vs algorithms adapted to the extraction of locations

Proposal for Named Entities Recognition and Classification (NERC) and the Automatic Generation of Rules on Mexican News

An Evaluation Methodology of Named Entities Recognition in Spanish Language: ECU 911 Case Study

Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016). Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016

Named Entities Recognition in Computer Field for Entity Attribute Semantic Knowledge Database

Integrating Bilingual Named Entities Lexicon with Conditional Random Fields Model for Arabic Named Entities Recognition

Improved Statistical Machine Translation by Cross-Linguistic Projection of Named Entities Recognition and Translation

A Named Entities Recognition System for Modern Standard Arabic using Rule-Based Approach

named entities recognition
Recently Published Documents