Search Results for author: Samuel Dahan

Found 4 papers, 1 papers with code

Evaluating AI for Law: Bridging the Gap with Open-Source Solutions

no code implementations18 Apr 2024 Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu

This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients.

Question Answering

Prototype-Based Interpretability for Legal Citation Prediction

no code implementations25 May 2023 Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu

Deep learning has made significant progress in the past decade, and demonstrates potential to solve problems with extensive social impact.

Citation Prediction Decision Making

Towards Legally Enforceable Hate Speech Detection for Public Forums

1 code implementation23 May 2023 Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan

With this task definition, automatic hate speech detection can be more closely aligned to enforceable laws, and hence assist in more rigorous enforcement of legal protections against harmful speech in public forums.

Hate Speech Detection

Interpretable Low-Resource Legal Decision Making

no code implementations1 Jan 2022 Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu

In this work, we utilize deep learning models in the area of trademark law to shed light on the issue of likelihood of confusion between trademarks.

Decision Making Weakly-supervised Learning

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