Papers by Alex Pentland
The Law and NLP: Bridging Disciplinary Disconnects (2023.findings-emnlp)
Copied to clipboard
| Challenge: | Legal practitioners and scholars have been slow to adopt tools from natural language processing (NLP) the legal system is experiencing an access to justice crisis, which could be partially alleviated with NLP. |
| Approach: | They argue that legal practitioners are slow to adopt natural language processing (NLP) they argue that there is a disconnect between legal needs and NLP research . |
| Outcome: | The proposed tasks bridge disciplinary disconnects and highlight interesting areas for legal NLP research that remain underexplored. |
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent (2024.acl-long)
Copied to clipboard
| Challenge: | Legal passage retrieval is a practice-oriented task that seeks to predict relevant passages from precedential court decisions given the context of a legal argument. |
| Approach: | They present a dataset which aims to facilitate work on legal passage retrieval . they extensively evaluate various approaches and find classification-based retrieval works best . |
| Outcome: | The proposed dataset aims to facilitate work on legal passage retrieval . it shows that classification-based retrieval seems to work best . |
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling (2024.acl-long)
Copied to clipboard
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara
| Challenge: | a novel application of large language models (LLMs) to legal education helps non-experts learn complex legal concepts . authors find storytelling helps nonexperts understand complex legal terms and concepts compared to definitions . |
| Approach: | They propose a novel application of large language models to legal education . they use LLMs to generate legal stories explaining complex legal concepts . |
| Outcome: | The proposed method improves comprehension and interest among non-native speakers compared to definitions . the novel method also shows that non-experts retain more stories . |