Vol-3210
urn:nbn:de:0074-3210-6

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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 2022
Extraction and Evaluation of Knowledge Entities from Scientific Documents

3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents 2022 (EEKE 2022)
co-located with the JCDL 2022

Germany and Online, 23-24 June, 2022.

Edited by

Chengzhi Zhang *
Philipp Mayr
Wei Lu *
Yi Zhang ****

* Nanjing University of Science and Technology, China
** GESIS - Leibniz Institute for the Social Sciences, Knowledge Technologies for the Social Sciences, Cologne, Germany
*** Wuhan University, China
**** University of Technology Sydney, Australia

Table of Contents

Preface to the 3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents at JCDL 2022 1-4
Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang

Session 1: Extraction Method of Knowledge Entity

Beyond Tasks, Methods, and Metrics: Extracting Metrics-driven Mechanism from the Abstracts of AI Articles 5-18
Yongqiang Ma, Jiawei Liu, Wei Lu, Qikai Cheng
A Bootstrapped Chinese Biomedical Named Entity Recognition Model Incorporating Lexicons 19-28
Liangping Ding, Zhixiong Zhang, Huan Liu
2SCE-4SL: A 2-Stage Causality Extraction Framework for Scientific Literature 29-40
Yujie Zhang, Rujiang Bai, Ling Kong, Xiaoyue Wang
A Semi-supervised Transfer Learning Framework for Low Resource Entity and Relation Extraction in Scientific Domain (short paper) 41-47
Hao Wang, Xian-Ling Mao, Heyan Huang

Session 2: Application of Knowledge Entity Extraction

Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents (short paper) 48-55
Nina Smirnova, Philipp Mayr
Topic Distribution of China’s Data Governance Policies: A Full-text Highlighted Clue Word Approach (short paper) 56-63
Bikun Chen, Yuxin Liu, Kuan Bai
Medical Schema Matching using Knowledge Graph Embedding (short paper) 64-68
Chaoyu Gao, Tianxing Wu, Shengqi Jing, Yuxiang Wang
Analyzing Research Diversity of Scholars Based on Multi-dimensional Calculation of Entities (short paper) 69-73
Chuhan Wang, Tongyang Zhang, Yi Bu, Jian Xu
Automatic Construction of Technology Function Matrix (short paper) 74-79
Xiang Shi, Zikun Feng, Jiawei Liu, Qikai Cheng, Wei Lu

Session 3: Knowledge Entity and Bibliometrics

Characterizing Knowledge Entity Extracted from Citation Sentences 80-91
Dongin Nam, Jiwon Kim, Jeeyoung Yoon, Chaemin Song, Seongdeok Kim, Min Song
Covid-19 Knowledge Deconstruction and Retrieval: Solutions of Intelligent Bibliometrics 92-103
Mengjia Wu, Yi Zhang, Mark Markley, Caitlin Cassidy, Nils Newman, Alan Porter
Detecting Technological Recombination using Semantic Analysis and Dynamic Network Analysis 104-117
Lu Huang, Xiaoli Cao, Yijie Cai, Hang Ren, Tianbin Xing, Peifeng Ye
A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper) 118-126
Tingting Ma, Ruiping Cheng, Hongshu Chen, Xiao Zhou

Session 4: Poster

A Corpus for Entity Recognition in COVID-19 Full-text Literature (poster) 127-130
Xin An, Mengmeng Zhang, Shuo Xu
Interdisciplinary Topics Extraction and Evolution Analysis (poster) 131-133
Zhongyi Wang, Jing Chen, Jiangping Chen, Haihua Chen
SciGraph: A Knowledge Graph Constructed by Function and Topic Annotation of Scientific Papers (poster) 134-137
Yuchen Yan, Chong Chen
Named Entity Recognition for Science and Technology Policy Dynamics (poster) 138-141
Wenjiao Zhen, Bolin Hua

Summary: There were 24 papers submitted for peer-review to this workshop. Out of these, 17 papers were accepted for this volume, 6 as regular papers, 7 as short papers and, 4 as poster.

2022-07-21: submitted by Chengzhi Zhang, metadata incl. bibliographic data published under Creative Commons CC0
2022-09-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|