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AII@iConference 2021: Virtual Event / Beijing, China
- Yi Zhang, Chengzhi Zhang, Philipp Mayr, Arho Suominen:

Proceedings of the 1st Workshop on AI + Informetrics (AII2021) co-located with the iConference 2021, Virtual Event, March 17th, 2021. CEUR Workshop Proceedings 2871, CEUR-WS.org 2021
Session 1: AI + Informetrics for Scholarly Recommendation
- Xin Zhang, Yi Wen, Haiyun Xu:

Research on Heterogeneous Enhanced Network Embedding for Cooperation Prediction. 6-24 - Jaeyoung Choi, Chaeeun Han, Heeyoon Yang, Yeonkyoung Hong, Seoyoung Jeon, Yongjun Zhu:

Embedding-based Neural Network Models for Book Recommendation in University Libraries. 25-32 - Hongshu Chen, Xinna Song:

Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation. 33-46 - Xiaowen Xi, Ying Guo, Weiyu Duan:

Recommendation of Academic Collaborators: A Methodology Incorporating Word Embedding and Network Embedding. 47-57
Session 2: AI + Informetrics for Knowledge Extraction
- Bolin Hua, Youngkug Shin:

Extraction of Sentences Describing Originality from Conclusion in Academic Papers. 58-70 - Chuan Jiang, Dongbo Wang, Si Shen, Wenhao Ye, Jiangfeng Liu:

Building the Extraction Model of the Software Entities from Full-Text of Research Articles Based on BERT. 71-90 - Shiyun Wang, Jin Mao, Hao Xie:

Automatic Identification and Classification of Integrated Knowledge Content in an Interdisciplinary Field: A Case Study on eHealth. 91-100 - Zekun Deng, Zixin Zeng, Weiye Gu, Jiawen Ji, Bolin Hua:

Automatic Related Work Section Generation by Sentence Extraction and Reordering. 101-110
Session 3: AI + Informetrics for Information Studies
- Asta Bäck, Arash Hajikhani, Arho Suominen:

Text Mining on Job Advertisement Data: Systematic Process for Detecting Artificial Intelligence Related Jobs. 111-124 - Sha Yuan, Zhou Shao, Yu Zhang, Tong Xiao, Yifan Wang:

Attention: to Better Stand on the Shoulders of Giants. 125-139 - Lu Huang, Xingxing Ni, Xiang Chen, Yi Zhang:

Measuring Interdisciplinary Interactions Using Citation Analysis and Semantic Analysis. 140-152 - Ruiyuan Li, Pin Tian, Shenghui Wang:

Study Concept Drift in 150-year English Literature. 153-163
Session 4: AI + Informetrics for Science, Technology & Innovation
- Xin An, Xin Sun, Shuo Xu:

Important Citations Identification with Semi-supervised Classification Model. 164-170 - Jingwen Luo, Fang Zou, Yu Zhang, Ying Huang:

Emerging Technology Opportunity Identification Based on Community Detection and Burst Detection: A Case study of Intelligent Robots. 171-182 - Arash Hajikhani, Arho Suominen:

The Interrelation of Sustainable Development Goals in Publications and Patents: A Machine Learning Approach. 183-193 - Junwan Liu, Rui Wang:

Research Performance Prediction for Scientists Using LSTM Neural Networks. 194-201 - Xuefeng Wang, Shuo Zhang, Yuqin Liu:

ITGInsight - Discovering and Visualizing Science, Technology and Innovation Information for Generating Competitive Technological Intelligence. 202-219

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