Vol-3451
urn:nbn:de:0074-3451-0

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

EEKE-AII2023
Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and AI + Informetrics (AII2023)

Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023)
co-located with the JCDL 2023

Santa Fe, New Mexico, USA and Online, 26 June, 2023.

Edited by

Chengzhi Zhang *
Yi Zhang
Philipp Mayr *
Wei Lu**
Arho Suominen *
Haihua Chen
Ying Ding ***

* Nanjing University of Science and Technology, China
** University of Technology Sydney, Australia
*** GESIS - Leibniz Institute for the Social Sciences, Germany
**** Wuhan University, China
***** Tampere University, Finland
****** University of North Texas, USA
******* University of Texas at Austin, USA

Table of Contents

Preface to Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) at JCDL 2023 1-5
Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding

Session 1: Poster

An Approach for Identifying Complementary Patents Based on Deep Learning 6-9
Jinzhu Zhang, Jialu Shi
Functional Structure Recognition of Scientific Documents in Information Science 10-12
Dayu Yan, Si Shen, Dongbo Wang
Linkages among Science, Technology, and Industry 13-15
Shuo Xu, Zhen Liu, Xin An

Session 2: Entity Extraction and Applications

The Impact of Interdisciplinarity and Entity Characteristics on the Clinical Translation Intensity of COVID-19 Papers 16-25
Shuang Chen, Chunli Liu
LLM-Based Entity Extraction Is Not for Cybersecurity 26-32
Maxime Würsch, Andrei Kucharavy, Dimitri Percia-David, Alain Mermoud
Characterizing Emerging Technologies of Global Digital Humanities Using Scientific Method Entities 33-40
Shaojian Li, Chengxi Yan

Session 3: AI + Informetrics

Identifying Potential Sleeping Beauties Based on Dynamic Time Warping Algorithm 41-45
Zewen Hu, Yu Chen, Jingjing Cui
Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration 46-51
Hongshu Chen, Jingkang Liu, Zikai Liu
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text 52-58
Panggih Kusuma Ningrum, Philipp Mayr, Iana Atanassova
Sentiment Classification of Scientific Citation Based on Modified BERT Attention by Sentiment Dictionary 59-64
Dahai Yu, Bolin Hua

Session 4: EEKE + AII Onsite Session

ClaimDistiller: Scientific Claim Extraction with Supervised Contrastive Learning 65-77
Xin Wei, Md Reshad Ul Hoque, Jian Wu, Jiang Li
Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network 78-89
Yejin Park, Seonkyu Lim, Changdai Gu, Min Song
How Does AI Assist Scientific Research Domains? Evidence Based on 26 Millions Research Articles 90-92
Qianqian Xu, Jie Meng, Jiangen He, Wen Lou

2023-08-05: submitted by Chengzhi Zhang, metadata incl. bibliographic data published under Creative Commons CC0
2023-08-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|