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}
}
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)
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Project Name : A machine learning and statistical inference framework for explainable artificial intelligence
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Managed by Ministry of Science and ICT/XAIC
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Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics
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Web Site : http://openXai.org