Papers by Nils Holzenberger
CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation (2025.findings-naacl)
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Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
| Challenge: | a dataset of case law is used to train and evaluate models for writing legal analyses . current approaches struggle to find relevant cases and generate legal analyses, authors say . |
| Approach: | They build a dataset of case law to support information retrieval and retrieval-augmented generation. |
| Outcome: | The proposed dataset supports two important backbone tasks: retrieval (IR) and retrieval-augmented generation (RAG). |
Factoring Statutory Reasoning as Language Understanding Challenges (2021.acl-long)
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| Challenge: | Statutory reasoning is the task of determining whether a legal statute applies to a text description of a case. |
| Approach: | They propose to decompose statutory reasoning into four types of language-understanding challenge problems using Prolog programming. |
| Outcome: | The proposed framework improves on existing baselines and finer-grained models. |