short-paper

Linking Named Entities across Languages using Multilingual Word Embeddings

Authors:

Elvys Linhares Pontes,

Jose G. Moreno,

Antoine DoucetAuthors Info & Claims

JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020

Pages 329 - 332

https://doi.org/10.1145/3383583.3398597

Published: 01 August 2020 Publication History

Abstract

Digital libraries are online collections of digital objects that can include text, images, audio, or videos in several languages. It has long been observed that named entities (NEs) are key to the access to digital library portals as they are contained in most user queries. However, NEs can have different spellings for each language which reduces the performance of user queries to retrieve documents across languages. Cross-lingual named entity linking (XEL) connects NEs from documents in a source language to external knowledge bases in another (target) language. The XEL task is especially challenging due to the diversity of NEs across languages and contexts. This paper describes an XEL system applied and evaluated with several languages pairs including English and various low-resourced languages of different linguistic families such as Croatian, Finnish, Estonian, and Slovenian. We tested this approach to analyze documents and NEs in low-resourced languages and link them to the English version of Wikipedia. We present the resulting study of this analysis and the challenges involved in the case of degraded documents from digital libraries. Further works will make an extensive analysis of the impact of our approach on the XEL task with OCRed documents.

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Cited By

Sorokina S(2024)Intelligent Text Processing: A Review of Automated Summarization MethodsVirtual Communication and Social Networks10.21603/2782-4799-2024-3-3-203-2223:3(203-222)Online publication date: 1-Oct-2024
https://doi.org/10.21603/2782-4799-2024-3-3-203-222
Hamdi ALinhares Pontes ESidere NCoustaty MDoucet A(2022)In-depth analysis of the impact of OCR errors on named entity recognition and linkingNatural Language Engineering10.1017/S135132492200011029:2(425-448)Online publication date: 18-Mar-2022
https://doi.org/10.1017/S1351324922000110
Škvorc TGantar PRobnik-Šikonja M(2022)MICEKnowledge-Based Systems10.1016/j.knosys.2021.107606235:COnline publication date: 10-Jan-2022
https://dl.acm.org/doi/10.1016/j.knosys.2021.107606
Show More Cited By

Index Terms

Linking Named Entities across Languages using Multilingual Word Embeddings
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction

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Published In

cover image ACM Conferences

JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020

August 2020

611 pages

ISBN:9781450375856

DOI:10.1145/3383583

General Chairs:
Ruhua Huang
Wuhan University, China
,
Dan Wu
Wuhan University, China
,
Gary Marchionini
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Daqing He
University of Pittsburgh, USA
,
Sally Jo Cunningham
University of Waikato, New Zealand
,
Preben Hansen
Stockholm University, Sweden

Copyright © 2020 ACM.

© 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
IEEE: Institute of Electrical and Electronics Engineers

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2020

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Horizon 2020

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JCDL '20

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JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020

August 1 - 5, 2020

Virtual Event, China

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

Sorokina S(2024)Intelligent Text Processing: A Review of Automated Summarization MethodsVirtual Communication and Social Networks10.21603/2782-4799-2024-3-3-203-2223:3(203-222)Online publication date: 1-Oct-2024
https://doi.org/10.21603/2782-4799-2024-3-3-203-222
Hamdi ALinhares Pontes ESidere NCoustaty MDoucet A(2022)In-depth analysis of the impact of OCR errors on named entity recognition and linkingNatural Language Engineering10.1017/S135132492200011029:2(425-448)Online publication date: 18-Mar-2022
https://doi.org/10.1017/S1351324922000110
Škvorc TGantar PRobnik-Šikonja M(2022)MICEKnowledge-Based Systems10.1016/j.knosys.2021.107606235:COnline publication date: 10-Jan-2022
https://dl.acm.org/doi/10.1016/j.knosys.2021.107606
Linhares Pontes ECabrera-Diego LMoreno JBoros EHamdi ADoucet ASidere NCoustaty M(2021)MELHISSA: a multilingual entity linking architecture for historical press articlesInternational Journal on Digital Libraries10.1007/s00799-021-00319-623:2(133-160)Online publication date: 29-Nov-2021
https://doi.org/10.1007/s00799-021-00319-6
Pontes ECabrera-Diego LMoreno JBoros EHamdi ASidère NCoustaty MDoucet A(2020)Entity Linking for Historical Documents: Challenges and SolutionsDigital Libraries at Times of Massive Societal Transition10.1007/978-3-030-64452-9_19(215-231)Online publication date: 26-Nov-2020
https://doi.org/10.1007/978-3-030-64452-9_19

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