Zhang, Zhaobo
Yuan, Pingpeng
Jin, Hai
Chapter History
First Online: 17 September 2023
Ethical Issues
: Following the guidelines from <i>General ethical issues in Machine Learning</i> (ExternalRef removed), we will briefly describe our ethical considerations.Our work mainly focuses on semantic mining in the Chinese domain, without <b>Bias, Fairness, Security, Privacy, Environmental Impact</b>, and <b>Discrimination</b> against a group or collective. Our method combines external professional linguistic knowledge and has good Transparency and Interpretability.Our data is sourced from publicly available resources on the internet and all references are cited in the paper, such as Github and other data that follows open-source licenses. Our data does not involve any personal privacy or inference of personal information. Our work is dedicated to researching the potential semantic relationships between words in Chinese and does not have any police or military applications.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.