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%0 Conference Proceedings
%T Analyzing Bid-Rigging Related Judicial Cases of Government Procurement Law Using Text Mining Techniques
%A Chen, Pei-Zhen
%A Hsu, Hsin-Yun
%A Wu, Jheng-Long
%Y Wu, Jheng-Long
%Y Su, Ming-Hsiang
%S Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
%D 2023
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei City, Taiwan
%F chen-etal-2023-analyzing
%U https://aclanthology.org/2023.rocling-1.29/
%P 233-241

Markdown (Informal)

[Analyzing Bid-Rigging Related Judicial Cases of Government Procurement Law Using Text Mining Techniques](https://aclanthology.org/2023.rocling-1.29/) (Chen et al., ROCLING 2023)

• Analyzing Bid-Rigging Related Judicial Cases of Government Procurement Law Using Text Mining Techniques (Chen et al., ROCLING 2023)

ACL

• Pei-Zhen Chen, Hsin-Yun Hsu, and Jheng-Long Wu. 2023. Analyzing Bid-Rigging Related Judicial Cases of Government Procurement Law Using Text Mining Techniques. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023), pages 233–241, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).