CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions
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Abstract (arXiv)
Most judicial decisions involve the interpretation of legal texts; as such, judicial opinion requires the use of language as a medium to comment on or draw attention to other language. Language used this way is called metalanguage. We develop an annotation schema for categorizing types of legal metalanguage and apply our schema to a set of U.S. Supreme Court opinions, yielding a corpus totaling 59k tokens. We remark on several patterns observed in the kinds of metalanguage used by the justices.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 66 references that are in the map. First posted on arXiv 24 May 2023.
Builds on
6 of 66 references.
References · 6
- 2015Learning to Understand Phrases by Embedding the Dictionarycited by 33
- 2021MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label settingcited by 30
- 2020SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpuscited by 12
- 2020BERT for Monolingual and Cross-Lingual Reverse Dictionarycited by 12
- 2021DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articlescited by 10
- 2022ELQA: A Corpus of Metalinguistic Questions and Answers about Englishcited by 8
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Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.