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JCDL2022 workshop: extraction and evaluation of knowledge entities from scientific documents (EEKE2022)

Authors:

Chengzhi Zhang,

Philipp Mayr,

Wei Lu,

Yi ZhangAuthors Info & Claims

JCDL '22: Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries

Article No.: 54, Pages 1 - 2

https://doi.org/10.1145/3529372.3530917

Published: 20 June 2022 Publication History

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Abstract

The 3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2022) was held online at the ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2022. The goal of this workshop series (https://eekeworkshop.github.io/) is to engage the related communities in open problems in the extraction and evaluation of knowledge entities from scientific documents. Participants are encouraged to identify knowledge entities, explore feature of various entities, analyze the relationship between entities, and construct the extraction platform or knowledge base.

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Zhang, C., Mayr, P., Lu, W., & Zhang, Y. (2020). Extraction and evaluation of knowledge entities from scientific documents: EEKE2020. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 573--574.

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Cited By

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Zhang CZhang YMayr PLu WSuominen AChen HDing YKlein MBen-David AJäschke RKelly M(2024)JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023)Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00070(306-307)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00070
Zhang YBai RKong LWang X(2024)2SCE-4SL: a 2-stage causality extraction framework for scientific literatureScientometrics10.1007/s11192-023-04817-z129:11(7175-7195)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s11192-023-04817-z
Porter AMarkley MNewman N(2023)The long COVID research literatureFrontiers in Research Metrics and Analytics10.3389/frma.2023.11490918Online publication date: 24-Mar-2023
https://doi.org/10.3389/frma.2023.1149091

Index Terms

JCDL2022 workshop: extraction and evaluation of knowledge entities from scientific documents (EEKE2022)
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction

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Information & Contributors

Information

Published In

JCDL '22: Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries

June 2022

392 pages

ISBN:9781450393454

DOI:10.1145/3529372

General Chairs:
Akiko Aizawa
National Institute of Informatics, Japan
,
Thomas Mandl
University of Hildesheim, Germany
,
Zeljko Carevic
GESIS - Leibniz Institute for the Social Sciences, Germany
,
Program Chairs:
Annika Hinze
University of Waikato, New Zealand
,
Philipp Mayr
GESIS - Leibniz Institute for the Social Sciences, Germany
,
Philipp Schaer
TH Köln (University of Applied Sciences), Germany

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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IEEE Technical Committee on Digital Libraries (TC DL)

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 June 2022

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JCDL '22

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JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022

June 20 - 24, 2022

Cologne, Germany

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JCDL '22 Paper Acceptance Rate 35 of 132 submissions, 27%;

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

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Zhang CZhang YMayr PLu WSuominen AChen HDing YKlein MBen-David AJäschke RKelly M(2024)JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023)Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00070(306-307)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00070
Zhang YBai RKong LWang X(2024)2SCE-4SL: a 2-stage causality extraction framework for scientific literatureScientometrics10.1007/s11192-023-04817-z129:11(7175-7195)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s11192-023-04817-z
Porter AMarkley MNewman N(2023)The long COVID research literatureFrontiers in Research Metrics and Analytics10.3389/frma.2023.11490918Online publication date: 24-Mar-2023
https://doi.org/10.3389/frma.2023.1149091

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A review on method entities in the academic literature: extraction, evaluation, and application

ERLANG '07: Proceedings of the 2007 SIGPLAN workshop on ERLANG Workshop

PIKM '15: Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management

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