He, Minghua
Gu, Nanfei
Shi, Yuntao
Zhang, Qionghui
Chen, Yaying
Chapter History
First Online: 22 September 2023
Ethical Statement
: We utilize a dataset sample sourced from publicly available judgment documents on the China Judgment Network, which is a platform that complies with relevant legal and regulatory requirements and authorizes the use of documents for research purposes. Our objective is to support legal services through FAIR principles and aid judges in their decision-making process rather than replace them. However, crucial information pertaining to over-age labors is often absent or ambiguous due to privacy concerns. This can result in the dataset being incomplete, potentially impacting the final analysis results. In certain cases, our model may generate erroneous judgments; hence users must exercise caution when interpreting the model’s inference results. Nevertheless, on the whole, our model can assist judges in identifying pertinent legal articles and aid in ensuring judicial consistency throughout China.
Conference Information
Conference Acronym: ICANN
Conference Name: International Conference on Artificial Neural Networks
Conference City: Heraklion
Conference Country: Greece
Conference Year: 2023
Conference Start Date: 26 September 2023
Conference End Date: 29 September 2023
Conference Number: 32
Conference ID: icann2023
Conference URL: https://e-nns.org/icann2023/
Peer Review Information (provided by the conference organizers)
Type: Single-blind
Conference Management System: easyacademia.org
Number of Submissions Sent for Review: 947
Number of Full Papers Accepted: 426
Number of Short Papers Accepted: 22
Acceptance Rate of Full Papers: 45% - 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: 2.4
Average Number of Papers per Reviewer: 4
External Reviewers Involved: No
Additional Info on Review Process: type of other papers accepted : 9 Abstract