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ORCIDEEKE/AII@iConference 2024: Changchun, China and Online
- Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding:
Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024), Changchun, China and Online, April 23-24, 2024. CEUR Workshop Proceedings 3745, CEUR-WS.org 2024 - Preface to Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024). 1-8
Session 1: Technology Mining
- Han Huang, Xiaoguang Wang, Hongyu Wang:
Technological Forecasting Based on Spectral Clustering for Word Frequency Time Series. 9-23 - Ljiljana Dolamic, Julian Jang-Jaccard, Alain Mermoud, Vincent Lenders:
Automated Identification of Emerging Technologies: Open Data Approach. 24-33 - Jinzhu Zhang, Bing Yan:
Technology Convergence Prediction From a Timeliness Perspective: An Improved Contribution Index in a Dynamic Network. 34-39 - Yang Zheng, Kaiwen Shi, Yuhang Dong, Xiaoguang Wang, Hongyu Wang:
A Research Topic Evolution Prediction Approach Based on Multiplex-graph Representation Learning. 40-44 - Zhen Yan, Rong Du, Hua Wang:
Unveiling the Secret of Information Rediffusion Process on Social Media from Information Coupling Perspective: a Hybrid Approach of Machine Learning and Regression Model. 45-50
Session 2: Entity & Relation Extraction
- Jianyuan Yuan, Wei Du, Xiaoxia Liu, Yijia Zhang:
Biomedical Relation Extraction via Domain Knowledge and Prompt Learning. 51-59 - Lu Huang, Xiaoli Cao, Hang Ren, Chunze Zhang, Zhenxin Wu:
Identifying Scientific Problems and Solutions: Semantic Network Analytics and Deep Learning. 60-71 - Jinzhu Zhang, Wenwen Sun:
Material Performance Evolution Discovery Based on Entity Extraction and Social Circle Theory. 72-79 - Chengxi Yan, Zhichao Fang:
Revealing the Country-level Preference on Research Methods in the Field of Digital Humanities: From the Perspective of Library and Information Science. 80-84 - Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud, Julian Jang-Jaccard:
LLM-Resilient Bibliometrics: Factual Consistency Through Entity Triplet Extraction. 85-93
Session 3: Power Talk
- Jia Yuan, Guoxiu He, Yunhan Yang:
How to Measure Information Cocoon in Academic Environment. 94-98 - Haichen Zhou, Xiaorong Huang, Hongjun Pu, Qi Zhang:
May Generative AI Be a Reviewer on an Academic Paper? 99-102 - Dan Wang, Xiao Zhou, Pengwei Zhao, Juan Pang, Qiaoyang Ren:
Research on the Identification of Breakthrough Technologies Driven by Science. 103-105 - Feifan Liu, Shuang Zhang, Haoxiang Xia:
Connector and Provincial Hub Dichotomy in Scientific Collaborations Identified by Reinforcement Learning Algorithm. 106-108 - Chi Yu, Liang Chen, Haiyun Xu:
Research on Named Entity Recognition from Patent Texts with Local Large Language Model. 109-111 - Shu Zhou, Hao Wang, Zhengda Zhou, Haohan Yi, Bin Shi:
IRUGCN: A Graph Convolutional Network Rumor Detection Model Incorporating User Behavior. 112-115 - Jianxin Zhu, Yutong Chuang, Zhinan Wang, Yunke Li:
Identification of Core Technological Topics in the New Energy Vehicle Industry: The SAO-BERTopic Topic Modeling Approach Based on Patent Text Mining. 116-119 - Mengge Sun, Yanpeng Wang, Yang Zhao:
Research on Fine-grained S&T Entity Identification with Contextual Semantics in Think-Tank Text. 120-123 - Mengjia Wu, Chao Yu, Jian Xu, Ying Ding, Yi Zhang:
Biomedical Association Inference on Pandemic Kowledge Graphs: A Comparative Study. 124-127
Session 4: AI for informetrics
- Shuang Zhang, Feifan Liu, Haoxiang Xia:
Understanding Citation Mobility in the Knowledge Space. 128-133 - Junwan Liu, Chenchen Huang, Shuo Xu:
Relationship between Team Diversity and Innovation Performance in Interdisciplinary Research Teams within the Field of Artificial Intelligence: Decision Tree Analysis. 134-140 - Chao Lu, Mengting Li, Chenyu Zhou:
Understanding Partnership in Scientific Collaborations: A Preliminary Study from the Paper-level Perspective. 141-144 - Alex Jie Yang, Yi Bu, Ying Ding, Meijun Liu:
Quantifying Scientific Novelty of Doctoral Theses with Bio-BERT Model. 145-149 - Lihan Yan, Haochuan Cui, Cheng-Jun Wang:
Are Disruptive Patents Less Likely to be Granted? Analyzing Scientific Gatekeeping with USPTO Patent Data (2004-2018). 150-154 - Bili Zheng, Wenjing Li, Jianhua Hou:
Open-mentorship Team is Beneficial to Disruptive Ideas. 155-158
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