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ORCIDEEKE/AII@JCDL 2023: Santa Fe, New Mexico, USA and Online
- Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding:
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. CEUR Workshop Proceedings 3451, CEUR-WS.org 2023 - Preface. 1-5
Session 1: Poster
- Jinzhu Zhang, Jialu Shi:
An Approach for Identifying Complementary Patents Based on Deep Learning. 6-9 - Dayu Yan, Si Shen, Dongbo Wang:
Functional Structure Recognition of Scientific Documents in Information Science. 10-12 - Shuo Xu, Zhen Liu, Xin An:
Linkages among Science, Technology, and Industry. 13-15
Session 2: Entity Extraction and Applications
- Shuang Chen, Chunli Liu:
The Impact of Interdisciplinarity and Entity Characteristics on the Clinical Translation Intensity of COVID-19 Papers. 16-25 - Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud:
LLM-Based Entity Extraction Is Not for Cybersecurity. 26-32 - Shaojian Li, Chengxi Yan:
Characterizing Emerging Technologies of Global Digital Humanities Using Scientific Method Entities. 33-40
Session 3: AI + Informetrics
- Zewen Hu, Yu Chen, Jingjing Cui:
Identifying Potential Sleeping Beauties Based on Dynamic Time Warping Algorithm. 41-45 - Hongshu Chen, Jingkang Liu, Zikai Liu:
Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration. 46-51 - Panggih Kusuma Ningrum, Philipp Mayr, Iana Atanassova:
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text. 52-58 - Dahai Yu, Bolin Hua:
Sentiment Classification of Scientific Citation Based on Modified BERT Attention by Sentiment Dictionary. 59-64
Session 4: EEKE + AII Onsite Session
- Xin Wei, Md Reshad Ul Hoque, Jian Wu, Jiang Li:
ClaimDistiller: Scientific Claim Extraction with Supervised Contrastive Learning. 65-77 - Yejin Park, Seonkyu Lim, Changdai Gu, Min Song:
Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network. 78-89 - Qianqian Xu, Jie Meng, Jiangen He, Wen Lou:
How Does AI Assist Scientific Research Domains? Evidence Based on 26 Millions Research Articles. 90-92
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