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Case Vectors: Spatial Representations of the Law Using Document Embeddings
14/14 checkable references clean · checked 2026-08-04
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 14 checked references that resolve
resolves10.1126/science.aal4230
Semantics derived automatically from language corpora contain human-like biases
resolves10.1007/s10506-018-9224-2
Bending the law: geometric tools for quantifying influence in the multinetwork of legal opinions
resolves10.1145/3086512
Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law
resolves10.1162/tacl_a_00134
Improving Distributional Similarity with Lessons Learned from Word Embeddings
resolves10.2307/2111356
Integrating Alternative Approaches to the Study of Judicial Voting: Obscenity Cases in the U.S. Courts of Appeals
The 14 references without a DOI — listed, not checked
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no DOI — not checkedMan is to computer programmer as woman is to homemaker? debiasing word embeddings
no DOI — not checkedref15
no DOI — not checkedref17
no DOI — not checkedDistributed representations of sentences and documents
no DOI — not checkedAgenda formation and the us supreme court: A topic model approach
no DOI — not checkedVisualizing data using t-sne
no DOI — not checkedDistributed representations of words and phrases and their compositionality
no DOI — not checkedref26
no DOI — not checkedStructured embedding models for grouped data
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