tailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models-Reference-Cited by-同舟云学术

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tailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models

Published:2024-06-09 Issue: Volume:112 Page:12-22
ISSN:
Container-title:Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning
language:
Short-container-title:

Author:

Dai Timothy¹^ORCID,Peters Austin¹^ORCID,Gelbach Jonah B.²^ORCID,Engstrom David Freeman³^ORCID,Kang Daniel⁴^ORCID

Affiliation:

1. Stanford University

2. UC Berkeley, School of Law

3. Stanford Law School

4. UIUC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650203.3663328

Reference34 articles.

1. [n. d.]. Complaint. https://www.law.cornell.edu/wex/complaint

2. [n. d.]. Intro.8.2 Textualism and Constitutional Interpretation. ([n. d.]). https://constitution.congress.gov/browse/essay/intro.8-2/ALDE_00001303/

3. [n. d.]. Motion. https://www.law.cornell.edu/wex/motion

4. [n. d.]. Opinion. https://www.law.cornell.edu/wex/opinion

5. [n. d.]. Proceeding. https://www.law.cornell.edu/wex/proceeding

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