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Daniel Martin Katz

Daniel Martin Katz has 2 papers in our library, in 2022–2023, most of them on Legal AI, English, Language models & pretraining; often with Ilias Chalkidis, Abhik Jana, Anders Søgaard.

2 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 25 · 128 works · 5,138 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 424 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4811

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. LexGLUE: A Benchmark Dataset for Legal Language Understanding in English (2022 · 239 citations)
    Legal NLP has grown quickly, but its resources are scattered, poorly documented, and scored with inconsistent metrics.
  2. LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development (2023 · 83 citations)
    Legal NLP already has many corpora, datasets and domain-adapted language models. What has been missing is a systematic look at how pre-training data and model size shape what such models know and how well they perform, and at how far that knowledge stays tied to particular legal systems. The authors assemble…

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A general approach for predicting the behavior of the Supreme Court of the United States ↗PLOS ONE · no summary yetDaniel Martin Katz, Michael J. Bommarito, Josh Blackman2017 · 598 citations
  2. LexNLP: Natural language processing and information extraction for legal and regulatory texts ↗arXiv:1806.03688 · no summary yetMichael J Bommarito II, Daniel Martin Katz, Eric M Detterman2018 · 14 citations
  3. Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting ↗arXiv:2110.11984 · no summary yetCorinna Coupette et al.2021 · 8 citations
  4. Law Smells ↗Artificial Intelligence and Law (Springer) · no summary yetCorinna Coupette et al.2022 · 6 citations
  5. KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications ↗arXiv:2503.17247 · no summary yetMichael J Bommarito, Daniel Martin Katz, Jillian Bommarito2025 · 4 citations
  6. Precise Legal Sentence Boundary Detection for Retrieval at Scale: NUPunkt and CharBoundary ↗arXiv:2504.04131 · no summary yetMichael J Bommarito, Daniel Martin Katz, Jillian Bommarito2025

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 424 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

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