JCDL2022 Workshop: Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2022)

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...

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Published inProceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries pp. 1 - 2
Main Authors Zhang, Chengzhi, Mayr, Philipp, Lu, Wei, Zhang, Yi
Format Conference Proceeding
LanguageEnglish
Published ACM 20.06.2022
Subjects
Conferences
Data mining
entity evaluation
entity extraction
Feature extraction
Information retrieval
Knowledge based systems
Knowledge entity
Libraries
scientific document
Task analysis
Online AccessGet full text
DOI10.1145/3529372.3530917

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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. CCS CONCEPTS * Information systems * Information retrieval * Retrieval tasks and goals * Information extraction
AbstractList 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. CCS CONCEPTS * Information systems * Information retrieval * Retrieval tasks and goals * Information extraction
Author Lu, Wei
Zhang, Chengzhi
Zhang, Yi
Mayr, Philipp
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  givenname: Yi
  surname: Zhang
  fullname: Zhang, Yi
  email: Yi.Zhang@uts.edu.au
  organization: Australian Artificial Intelligence Institute, University of Technology,Sydney,Australia
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SubjectTerms Conferences
Data mining
entity evaluation
entity extraction
Feature extraction
Information retrieval
Knowledge based systems
Knowledge entity
Libraries
scientific document
Task analysis
Title JCDL2022 Workshop: Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2022)
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