Samuel Dahan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

High Prediction Accuracy

Machine Learning

Top Venues

Canadian Conference on AI

Publications

Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. CoRR (2024)
Samuel Dahan, Rohan Bhambhoria, David Liang, Xiaodan Zhu
OpenJustice.ai: A Global Open-Source Legal Language Model. JURIX (2023)
Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
Prototype-Based Interpretability for Legal Citation Prediction. ACL (Findings) (2023)
Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
Legally Enforceable Hate Speech Detection for Public Forums. EMNLP (Findings) (2023)
Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
Prototype-Based Interpretability for Legal Citation Prediction. CoRR (2023)
Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan
Towards Legally Enforceable Hate Speech Detection for Public Forums. CoRR (2023)
Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
Interpretable Low-Resource Legal Decision Making. CoRR (2022)
Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
Interpretable Low-Resource Legal Decision Making. AAAI (2022)
Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
Evaluating Explanation Correctness in Legal Decision Making. AI (2022)
Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian Conference on AI (2021)
Jason T. Lam, Yuhao Chen, Farhana H. Zulkernine, Samuel Dahan
Detection of Similar Legal Cases on Personal Injury. ICDM (Workshops) (2021)
Jason T. Lam, David Liang, Samuel Dahan, Farhana H. Zulkernine
The Gap between Deep Learning and Law: Predicting Employment Notice. NLLP@KDD (2020)
Yifei Yin, Farhana H. Zulkernine, Samuel Dahan
Determining Worker Type from Legal Text Data using Machine Learning. DASC/PiCom/CBDCom/CyberSciTech (2020)