CR-COPEC: Causal Rationale of COrporate PErformance Changes**

This is a comprehensive large-scale domain-adaptation causal sentence dataset to detect financial performance changes of corporate.

Paper link: https://arxiv.org/abs/2310.16095 (Accepted in Findings of EMNLP 2023)

This will be uploaded soon.

If you use CR-COPEC in your research we would appreciate a citation to the paper below.

@inproceedings{Chun2023CRCOPEC,
    title   = {CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports},
    author  = {Ye Eun Chun, Sunjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byoung Ki Seo, Kevin Compher, Seung-won Hwang and Jaesik Choi},
    year    = {2023}
}

Apache License 2.0

These works were supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-01779, A machine learning and statistical inference framework for explainable artificial intelligence)

• Project Name : A machine learning and statistical inference framework for explainable artificial intelligence

• Managed by Ministry of Science and ICT/XAIC

• Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics

• Web Site : http://openXai.org